# -*- coding: utf-8 -*-
r"""
Module Summary
--------------
Interfaces for the NAG Mark 30.0 `blas` Chapter.
``blas`` - Linear Algebra Support Routines
This module is concerned with basic linear algebra functions which perform elementary algebraic operations involving scalars, vectors and matrices.
It includes functions which conform to the specifications of the BLAS (Basic Linear Algebra Subprograms).
Functionality Index
-------------------
**Level 0 (Scalar) operations**
complex numbers
apply similarity rotation to :math:`2\times 2` Hermitian matrix: :meth:`zrot2`
generate a plane rotation, storing the tangent, real cosine: :meth:`zrotgc`
generate a plane rotation, storing the tangent, real sine: :meth:`zrotgs`
quotient of two numbers, with overflow flag: :meth:`zdiv`
recover cosine and sine from given tangent, real cosine: :meth:`zcsg`
recover cosine and sine from given tangent, real sine: :meth:`zcsgs`
real numbers
apply similarity rotation to :math:`2\times 2` symmetric matrix: :meth:`drot2`
compute :math:`\sqrt{\left(a^2+b^2\right)}`: :meth:`dpyth`
compute Euclidean norm from scaled form: :meth:`dnorm`
eigenvalue of :math:`2\times 2` symmetric matrix: :meth:`deig2`
generate a Jacobi plane rotation: :meth:`drotj`
generate a plane rotation: :meth:`drotg`
generate a plane rotation storing the tangent: :meth:`drotgc`
quotient of two numbers, with overflow flag: :meth:`ddiv`
recover cosine and sine from given tangent: :meth:`dcsg`
**Level 1 (Vector) operations**
complex vector(s)
add scalar times a vector to another vector: :meth:`zaxpy`
apply a complex plane rotation: :meth:`zcrot`
apply an elementary reflection to a vector: :meth:`zhous`
apply a real plane rotation: :meth:`zdrot`
apply plane rotation
real cosine, complex sine: :meth:`zrot`
broadcast a scalar into a vector: :meth:`zload`
copy a real vector to a complex vector: :meth:`zdcopy`
copy a vector: :meth:`zcopy`
dot product of two vectors, conjugated: :meth:`zdotc`
dot product of two vectors, unconjugated: :meth:`zdotu`
Euclidean norm of a vector: :meth:`dznrm2`
generate an elementary reflection: :meth:`zhousg`
generate a sequence of plane rotations: :meth:`zsrotg`
index of element of largest absolute value: :meth:`izamax`
multiply vector by a complex scalar: :meth:`zscal`
multiply vector by a complex scalar, preserving input vector: :meth:`zaxpzy`
multiply vector by a real scalar: :meth:`zdscal`
multiply vector by a real scalar, preserving input vector: :meth:`zdaxpzy`
multiply vector by complex diagonal matrix: :meth:`zdscl`
multiply vector by real diagonal matrix: :meth:`zddscl`
multiply vector by reciprocal of a real scalar: :meth:`zdrscl`
negate a vector: :meth:`znegv`
sum of absolute values of vector-elements: :meth:`dzasum`
swap two vectors: :meth:`zswap`
update Euclidean norm in scaled form: :meth:`dzssq`
integer vector(s)
broadcast a scalar into a vector: :meth:`iload`
copy a vector: :meth:`icopy`
real vector(s)
add scalar times a vector to another vector: :meth:`daxpy`
apply an elementary reflection to a vector (Linpack style): :meth:`dlhous`
apply an elementary reflection to a vector (NAG style): :meth:`dnhous`
apply a symmetric plane rotation to two vectors: :meth:`drots`
apply plane rotation: :meth:`drot`
broadcast a scalar into a vector: :meth:`dload`
copy a vector: :meth:`dcopy`
cosine of angle between two vectors: :meth:`dvcos`
dot product of two vectors: :meth:`ddot`
elements of largest and smallest absolute value: :meth:`darang`
Euclidean norm of a vector: :meth:`dnrm2`
generate an elementary reflection (Linpack style): :meth:`dlhousg`
generate an elementary reflection (NAG style): :meth:`dnhousg`
generate a sequence of plane rotations: :meth:`dsrotg`
index of element of largest absolute value: :meth:`idamax`
index of last non-negligible element: :meth:`idrank`
multiply vector by a scalar: :meth:`dscal`
multiply vector by a scalar, preserving input vector: :meth:`axpzy`
multiply vector by diagonal matrix: :meth:`ddscl`
multiply vector by reciprocal of a scalar: :meth:`drscl`
negate a vector: :meth:`dnegv`
sum of absolute values of vector-elements: :meth:`dasum`
swap two vectors: :meth:`dswap`
update Euclidean norm in scaled form: :meth:`dssq`
weighted Euclidean norm of a vector: :meth:`dnrm2w`
**Level 2 (Matrix-vector and matrix) operations**
complex matrix and vector(s)
apply sequence of plane rotations to a rectangular matrix
complex cosine, real sine: :meth:`zgesrs`
real cosine, complex sine: :meth:`zgesrc`
real cosine and sine: :meth:`zsgesr`
compute a norm or the element of largest absolute value
band matrix: :meth:`zlangb`
general matrix: :meth:`zlange`
Hermitian band matrix: :meth:`zlanhb`
Hermitian matrix: :meth:`zlanhe`
Hermitian matrix, packed form: :meth:`zlanhp`
Hermitian matrix, RFP format: :meth:`zlanhf`
Hermitian tridiagonal matrix: :meth:`zlanht`
Hessenberg matrix: :meth:`zlanhs`
symmetric band matrix: :meth:`zlansb`
symmetric matrix: :meth:`zlansy`
symmetric matrix, packed form: :meth:`zlansp`
trapezoidal matrix: :meth:`zlantr`
triangular band matrix: :meth:`zlantb`
triangular matrix, packed form: :meth:`zlantp`
tridiagonal matrix: :meth:`zlangt`
compute upper Hessenberg matrix by applying sequence of plane rotations to an upper triangular matrix: :meth:`zutsrh`
compute upper spiked matrix by applying sequence of plane rotations to an upper triangular matrix: :meth:`zutsrs`
matrix initialization: :meth:`zmload`
matrix-vector product
Hermitian band matrix: :meth:`zhbmv`
Hermitian matrix: :meth:`zhemv`
Hermitian packed matrix: :meth:`zhpmv`
rectangular band matrix: :meth:`zgbmv`
rectangular matrix: :meth:`zgemv`
symmetric matrix: :meth:`zsymv`
symmetric packed matrix: :meth:`zspmv`
triangular band matrix: :meth:`ztbmv`
triangular matrix: :meth:`ztrmv`
triangular packed matrix: :meth:`ztpmv`
permute rows or columns of a matrix
permutations represented by an integer array: :meth:`zgeap`
permutations represented by a real array: :meth:`zgeapr`
:math:`QR` factorization by sequence of plane rotations
of rank-1 update of upper triangular matrix: :meth:`zutr1`
of upper triangular matrix augmented by a full row: :meth:`zutupd`
:math:`QR` factorization of :math:`UZ` or :math:`RQ` factorization of :math:`ZU`, where :math:`U` is upper triangular and :math:`Z` is a sequence of plane rotations: :meth:`zutsqr`
:math:`QR` or :math:`RQ` factorization by sequence of plane rotations
of upper Hessenberg matrix: :meth:`zuhqr`
of upper spiked matrix: :meth:`zusqr`
rank-1 update
Hermitian matrix: :meth:`zher`
Hermitian packed matrix: :meth:`zhpr`
rectangular matrix, conjugated vector: :meth:`zgerc`
rectangular matrix, unconjugated vector: :meth:`zgeru`
symmetric matrix: :meth:`zsyr`
symmetric packed matrix: :meth:`zspr`
rank-2 update
Hermitian matrix: :meth:`zher2`
Hermitian packed matrix: :meth:`zhpr2`
matrix copy, rectangular or trapezoidal: :meth:`zmcopy`
solution of a system of equations
triangular band matrix: :meth:`ztbsv`
triangular matrix: :meth:`ztrsv`
triangular packed matrix: :meth:`ztpsv`
unitary similarity transformation of a Hermitian matrix
as sequence of plane rotations: :meth:`zhesrc`
real matrix and vector(s)
apply sequence of plane rotations to a rectangular matrix: :meth:`dgesrc`
compute a norm or the element of largest absolute value
band matrix: :meth:`dlangb`
general matrix: :meth:`dlange`
Hessenberg matrix: :meth:`dlanhs`
matrix initialization: :meth:`dmload`
symmetric band matrix: :meth:`dlansb`
symmetric matrix: :meth:`dlansy`
symmetric matrix, packed form: :meth:`dlansp`
symmetric matrix, RFP format: :meth:`dlansf`
symmetric tridiagonal matrix: :meth:`dlanst`
trapezoidal matrix: :meth:`dlantr`
triangular band matrix: :meth:`dlantb`
triangular matrix, packed form: :meth:`dlantp`
tridiagonal matrix: :meth:`dlangt`
compute upper Hessenberg matrix by applying sequence of plane rotations to an upper triangular matrix: :meth:`dutsrh`
compute upper spiked matrix by applying sequence of plane rotations to an upper triangular matrix: :meth:`dutsrs`
matrix-vector product
rectangular band matrix: :meth:`dgbmv`
rectangular matrix: :meth:`dgemv`
symmetric band matrix: :meth:`dsbmv`
symmetric matrix: :meth:`dsymv`
symmetric packed matrix: :meth:`dspmv`
triangular band matrix: :meth:`dtbmv`
triangular matrix: :meth:`dtrmv`
triangular packed matrix: :meth:`dtpmv`
orthogonal similarity transformation of a symmetric matrix
as sequence of plane rotations: :meth:`dsysrc`
permute rows or columns of a matrix
permutations represented by an integer array: :meth:`dgeap`
permutations represented by a real array: :meth:`dgeapr`
:math:`QR` factorization by sequence of plane rotations
of rank-1 update of upper triangular matrix: :meth:`dutr1`
of upper triangular matrix augmented by a full row: :meth:`dutupd`
:math:`QR` factorization of :math:`UZ` or :math:`RQ` factorization of :math:`ZU`, where :math:`U` is upper triangular and :math:`Z` is a sequence of plane rotations: :meth:`dutsqr`
:math:`QR` or :math:`RQ` factorization by sequence of plane rotations
of upper Hessenberg matrix: :meth:`duhqr`
of upper spiked matrix: :meth:`dusqr`
rank-1 update
rectangular matrix: :meth:`dger`
symmetric matrix: :meth:`dsyr`
symmetric packed matrix: :meth:`dspr`
rank-2 update
matrix copy, rectangular or trapezoidal: :meth:`dmcopy`
symmetric matrix: :meth:`dsyr2`
symmetric packed matrix: :meth:`dspr2`
solution of a system of equations
triangular band matrix: :meth:`dtbsv`
triangular matrix: :meth:`dtrsv`
triangular packed matrix: :meth:`dtpsv`
**Level 3 (Matrix-matrix) operations**
complex matrices
matrix-matrix product
one matrix Hermitian: :meth:`zhemm`
one matrix symmetric: :meth:`zsymm`
one matrix triangular: :meth:`ztrmm`
two rectangular matrices: :meth:`zgemm`
rank-:math:`2k` update
of a Hermitian matrix: :meth:`zher2k`
of a symmetric matrix: :meth:`zsyr2k`
rank-:math:`k` update
of a Hermitian matrix: :meth:`zherk`
of a Hermitian matrix, RFP format: :meth:`zhfrk`
of a symmetric matrix: :meth:`zsyrk`
solution of triangular systems of equations: :meth:`ztrsm`
solution of triangular systems of equations, RFP format: :meth:`ztfsm`
real matrices
matrix-matrix product
one matrix symmetric: :meth:`dsymm`
one matrix triangular: :meth:`dtrmm`
rectangular matrices: :meth:`dgemm`
rank-:math:`2k` update of a symmetric matrix: :meth:`dsyr2k`
rank-:math:`k` update
of a symmetric matrix: :meth:`dsyrk`
of a symmetric matrix, RFP format: :meth:`dsfrk`
solution of triangular systems of equations: :meth:`dtrsm`
solution of triangular systems of equations, RFP format: :meth:`dtfsm`
**Sparse level 1 (vector) operations**
complex vector(s)
add scalar times sparse vector to a full vector: :meth:`zaxpyi`
dot product of a sparse and a full vector (conjugated): :meth:`zdotci`
dot product of a sparse and a full vector (unconjugated): :meth:`zdotui`
gather and set to zero a sparse vector: :meth:`zgthrz`
gather sparse vector: :meth:`zgthr`
scatter sparse vector: :meth:`zsctr`
real vector(s)
add scalar times sparse vector to a full vector: :meth:`daxpyi`
apply plane rotation to a sparse and a full vector: :meth:`droti`
dot product of a sparse and a full vector: :meth:`ddoti`
gather and set to zero a sparse vector: :meth:`dgthrz`
gather sparse vector: :meth:`dgthr`
scatter sparse vector: :meth:`dsctr`
For full information please refer to the NAG Library document
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06intro.html
"""
# NAG Copyright 2017-2024.
[docs]def drotg(a, b):
r"""
``drotg`` generates a real Givens plane rotation.
.. _f06aa-py2-py-doc:
For full information please refer to the NAG Library document for f06aa
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06aaf.html
.. _f06aa-py2-py-parameters:
**Parameters**
**a** : float
The value :math:`a`, the first element of the vector which determines the rotation.
**b** : float
The value :math:`b`, the second element of the vector which determines the rotation.
**Returns**
**a** : float
The value :math:`d`.
**b** : float
The value :math:`z`, from which :math:`c` and :math:`s` can be reconstructed.
**c** : float
The value :math:`c`, the cosine of the rotation.
**s** : float
The value :math:`s`, the sine of the rotation.
.. _f06aa-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``drotg`` generates a real Givens plane rotation with parameters :math:`c` and :math:`s`, such that, given real :math:`a` and :math:`b`:
.. math::
\begin{pmatrix}c&s\\-s&c\end{pmatrix}\begin{pmatrix}a\\b\end{pmatrix} = \begin{pmatrix}d\\0\end{pmatrix}\text{.}
The function computes :math:`c`, :math:`s` and :math:`d` as follows:
.. math::
d = \sigma \sqrt{a^2+b^2}\text{;}
.. math::
c = \left\{\begin{array}{ll}a/d\text{,}&\text{if } d\neq 0\text{,}\\1\text{,}&\text{if } d = 0\text{,}\end{array}\right. \quad \text{ }\quad s = \left\{\begin{array}{ll}b/d\text{,}&\text{if } d\neq 0\text{,}\\0\text{,}&\text{if } d = 0\text{,}\end{array}\right.
.. math::
\text{where }\quad \sigma = \left\{\begin{array}{ll}\mathrm{sign}\left(a\right)\text{,}&\text{if }\left\lvert a\right\rvert > \left\lvert b\right\rvert \text{,}\\\mathrm{sign}\left(b\right)\text{,}&\text{if }\left\lvert a\right\rvert \leq \left\lvert b\right\rvert \text{.}\end{array}\right.
The function also computes the value :math:`z` defined as
.. math::
z = \left\{\begin{array}{ll}s\text{,}&\text{if }\left\lvert s\right\rvert < c\text{ or }c = 0\text{,}\\1/c\text{,}&\text{if }0 < \left\lvert c\right\rvert \leq s\text{.}\end{array}\right.
This enables :math:`c` and :math:`s` to be reconstructed from the single value :math:`z` as
.. math::
c = \left\{\begin{array}{ll}\sqrt{1-z^2}\text{,}&\text{if }\left\lvert z\right\rvert \leq 1\text{,}\\1/z\text{,}&\text{if }\left\lvert z\right\rvert > 1\text{,}\end{array}\right. \quad \text{ }\quad s = \left\{\begin{array}{ll}z\text{,}&\text{if }\left\lvert z\right\rvert \leq 1\text{,}\\\sqrt{1-c^2}\text{,}&\text{if }\left\lvert z\right\rvert > 1\text{.}\end{array}\right.
To apply the plane rotation to a pair of real vectors, call :meth:`drot`; to apply it to a pair of complex vectors, call :meth:`zdrot`.
"""
raise NotImplementedError
[docs]def drotgc(a, b):
r"""
``drotgc`` generates a real Givens plane rotation and the tangent of that rotation.
.. _f06ba-py2-py-doc:
For full information please refer to the NAG Library document for f06ba
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06baf.html
.. _f06ba-py2-py-parameters:
**Parameters**
**a** : float
The value :math:`a`, the first element of the vector which determines the rotation.
**b** : float
The value :math:`b`, the second element of the vector which determines the rotation.
**Returns**
**a** : float
The value :math:`d`.
**b** : float
The value :math:`t`, the tangent of the rotation.
**c** : float
The value :math:`c`, the cosine of the rotation.
**s** : float
The value :math:`s`, the sine of the rotation.
.. _f06ba-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``drotgc`` generates a real Givens plane rotation with parameters :math:`c` (:math:`\text{}\geq 0`) and :math:`s`, such that, given real :math:`a` and :math:`b`:
.. math::
\begin{pmatrix}c&s\\-s&c\end{pmatrix}\begin{pmatrix}a\\b\end{pmatrix} = \begin{pmatrix}d\\0\end{pmatrix}\text{.}
On exit, :math:`b` is overwritten by :math:`t`, the tangent of the rotation; :math:`c` and :math:`s` can be reconstructed from the single stored value :math:`t`, by a subsequent call to :meth:`dcsg`.
If :math:`\left\lvert b\right\rvert < \sqrt{\epsilon }\left\lvert a\right\rvert`, where :math:`\epsilon` is the machine precision, the function sets :math:`c = 1` and :math:`s = 0`; if :math:`\left\lvert a\right\rvert < \sqrt{\epsilon }\left\lvert b\right\rvert`, the function sets :math:`c = 0` and :math:`s = \mathrm{sign}\left(b\right)/a`.
Note that :math:`t` is always set to :math:`b/a`, unless this would overflow, in which case the value :math:`\textit{flmax}\times \mathrm{sign}\left(b\right)/a` is returned, where :math:`\textit{flmax}` is the value given by :math:`1/\left(\texttt{machine.real_safe}\right)`.
To apply the plane rotation to a pair of real vectors, call :meth:`drot`; to apply it to a pair of complex vectors, call :meth:`zdrot`.
"""
raise NotImplementedError
[docs]def dcsg(t):
r"""
``dcsg`` reconstructs the parameters :math:`c` and :math:`s` of a real plane rotation from the tangent of that rotation.
.. _f06bc-py2-py-doc:
For full information please refer to the NAG Library document for f06bc
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06bcf.html
.. _f06bc-py2-py-parameters:
**Parameters**
**t** : float
The value :math:`t`, the tangent of the rotation.
**Returns**
**c** : float
The value :math:`c`, the cosine of the rotation.
**s** : float
The value :math:`s`, the sine of the rotation.
.. _f06bc-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dcsg`` reconstructs the parameters :math:`c` and :math:`s` of a real plane rotation from the value of the tangent :math:`t`, as returned by :meth:`drotgc`:
.. math::
c = \frac{1}{{\sqrt{1+t^2}}}\text{, }\quad s = ct\text{,}
so that :math:`c\geq 0` and :math:`s` has the same sign as :math:`t`.
If :math:`\left\lvert t\right\rvert < \sqrt{\epsilon }`, where :math:`\epsilon` is the machine precision, the function sets :math:`c = 1` and :math:`s = t`; if :math:`\left\lvert t\right\rvert > 1/\sqrt{\epsilon }`, the function sets :math:`c = \frac{1}{{\left\lvert t\right\rvert }}` and :math:`s = \mathrm{sign}\left(t\right)`.
"""
raise NotImplementedError
[docs]def drotj(job, x, y, z):
r"""
``drotj`` generates a real Jacobi plane rotation.
.. _f06be-py2-py-doc:
For full information please refer to the NAG Library document for f06be
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06bef.html
.. _f06be-py2-py-parameters:
**Parameters**
**job** : str, length 1
Specifies the property which determines the precise form of the rotation.
:math:`\mathrm{job} = \texttt{'B'}`
:math:`c\geq 1/\sqrt{2}`.
:math:`\mathrm{job} = \texttt{'S'}`
:math:`0\leq c\leq 1/\sqrt{2}`.
:math:`\mathrm{job} = \texttt{'M'}`
:math:`\left\lvert a\right\rvert \geq \left\lvert b\right\rvert`.
**x** : float
The value :math:`x`, the :math:`\left(1, 1\right)` element of the input matrix.
**y** : float
The value :math:`y`, the :math:`\left(1, 2\right)` or :math:`\left(2, 1\right)` element of the input matrix.
**z** : float
The value :math:`z`. the :math:`\left(2, 2\right)` element of the input matrix.
**Returns**
**x** : float
The value :math:`a`.
**y** : float
The value :math:`t`, the tangent of the rotation.
**z** : float
The value :math:`b`.
**c** : float
The value :math:`c`, the cosine of the rotation.
**s** : float
The value :math:`s`, the sine of the rotation.
.. _f06be-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{job}`.
Constraint: :math:`\mathrm{job} = \texttt{'B'}`, :math:`\texttt{'S'}` or :math:`\texttt{'M'}`.
.. _f06be-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``drotj`` generates a real Jacobi plane rotation with parameters :math:`c` and :math:`s`, which diagonalizes a given :math:`2\times 2` real symmetric matrix:
.. math::
\begin{pmatrix}c&s\\-s&c\end{pmatrix}\begin{pmatrix}x&y\\y&z\end{pmatrix}\begin{pmatrix}c&-s\\s&c\end{pmatrix} = \begin{pmatrix}a&0\\0&b\end{pmatrix}\text{.}
"""
raise NotImplementedError
[docs]def drot2(x, y, z, c, s):
r"""
``drot2`` applies a real similarity rotation to a :math:`2\times 2` real symmetric matrix.
.. _f06bh-py2-py-doc:
For full information please refer to the NAG Library document for f06bh
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06bhf.html
.. _f06bh-py2-py-parameters:
**Parameters**
**x** : float
The value :math:`x`, the :math:`\left(1, 1\right)` element of the input matrix.
**y** : float
The value :math:`y`, the :math:`\left(1, 2\right)` or :math:`\left(2, 1\right)` element of the input matrix.
**z** : float
The value :math:`z`, the :math:`\left(2, 2\right)` element of the input matrix.
**c** : float
The value :math:`c`, the cosine of the rotation.
**s** : float
The value :math:`s`, the sine of the rotation.
**Returns**
**x** : float
The transformed value :math:`x`.
**y** : float
The transformed value :math:`y`.
**z** : float
The transformed value :math:`z`.
.. _f06bh-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``drot2`` applies a real similarity rotation, with parameters :math:`c` and :math:`s`, to a given :math:`2\times 2` real symmetric matrix; that is, it performs the operation:
.. math::
\begin{pmatrix}x&y\\y&z\end{pmatrix}←\begin{pmatrix}c&s\\-s&c\end{pmatrix}\begin{pmatrix}x&y\\y&z\end{pmatrix}\begin{pmatrix}c&-s\\s&c\end{pmatrix}\text{.}
"""
raise NotImplementedError
[docs]def ddiv(a, b):
r"""
``ddiv`` computes the quotient of two real scalars.
.. _f06bl-py2-py-doc:
For full information please refer to the NAG Library document for f06bl
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06blf.html
.. _f06bl-py2-py-parameters:
**Parameters**
**a** : float
The value :math:`a`.
**b** : float
The value :math:`b`.
**Returns**
**div** : float
The quotient of the two real scalars.
**fail** : bool
:math:`\mathbf{True}` if :math:`a/b` would overflow (in which case :math:`\left\lvert q\right\rvert = \textit{flmax}`) or :math:`a = b = 0` (in which case :math:`q = 0`); otherwise :math:`\mathbf{False}`.
.. _f06bl-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``ddiv`` returns the value :math:`q`, where
.. math::
q = \left\{\begin{array}{ll}a/b\text{,}&\text{if }a/b\text{ does not overflow,}\\0\text{,}&\text{if }a = 0\text{,}\\\textit{flmax}\times \mathrm{sign}\left(a/b\right)\text{,}&\text{if }a\neq 0\text{ and }a/b\text{ would overflow.}\end{array}\right.
Here :math:`\textit{flmax}` is the large value given by :math:`1/\left(\texttt{machine.real_safe}\right)`, and :math:`\mathrm{sign}\left(a/0\right)` is taken as :math:`\mathrm{sign}\left(a\right)`.
"""
raise NotImplementedError
[docs]def dnorm(scal, ssq):
r"""
``dnorm`` completes the safe computation of the Euclidean length of a vector, following a call to :meth:`dssq` or :meth:`dzssq`.
.. _f06bm-py2-py-doc:
For full information please refer to the NAG Library document for f06bm
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06bmf.html
.. _f06bm-py2-py-parameters:
**Parameters**
**scal** : float
The scaling factor :math:`\alpha`, returned by :meth:`dssq` or :meth:`dzssq`.
**ssq** : float
The scaled sum of squares :math:`\xi`, returned by :meth:`dssq` or :meth:`dzssq`.
**Returns**
**nrm2** : float
The Euclidean length of the vector.
.. _f06bm-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{scal}`.
Constraint: :math:`\mathrm{scal}\geq 0.0`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{ssq}`.
Constraint: :math:`\mathrm{ssq}\geq 1.0`.
.. _f06bm-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dnorm`` completes the safe computation of the Euclidean length of a vector, following a call to :meth:`dssq` or :meth:`dzssq` which return values :math:`\alpha` and :math:`\xi` such that
.. math::
\left\lVert x\right\rVert_2^2 = \alpha^2\xi \text{.}
``dnorm`` returns the value
.. math::
\mathrm{min}\left({\alpha \sqrt{\xi }}, \textit{flmax}\right)\text{,}
where :math:`\textit{flmax}` is the value given by :math:`1/\left(\texttt{machine.real_safe}\right)`.
"""
raise NotImplementedError
[docs]def dpyth(a, b):
r"""
``dpyth`` returns the value :math:`\sqrt{a^2+b^2}`.
.. _f06bn-py2-py-doc:
For full information please refer to the NAG Library document for f06bn
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06bnf.html
.. _f06bn-py2-py-parameters:
**Parameters**
**a** : float
The value :math:`a`.
**b** : float
The value :math:`b`.
**Returns**
**p** : float
The value :math:`\sqrt{a^2+b^2}`.
.. _f06bn-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def deig2(a, b, c):
r"""
``deig2`` returns an eigenvalue of a :math:`2\times 2` real symmetric matrix.
.. _f06bp-py2-py-doc:
For full information please refer to the NAG Library document for f06bp
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06bpf.html
.. _f06bp-py2-py-parameters:
**Parameters**
**a** : float
The value :math:`a`, the :math:`\left(1, 1\right)` element of the input matrix.
**b** : float
The value :math:`b`, the :math:`\left(1, 2\right)` or :math:`\left(2, 1\right)` element of the input matrix.
**c** : float
The value :math:`c`, the :math:`\left(2, 2\right)` element of the input matrix.
**Returns**
**ev** : float
The eigenvalue.
.. _f06bp-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``deig2`` returns an eigenvalue of the :math:`2\times 2` real symmetric matrix
.. math::
\begin{pmatrix}a&b\\b&c\end{pmatrix}\text{,}\text{.}
The result is intended for use as a shift in symmetric eigenvalue functions.
The eigenvalue is computed as
.. math::
c-\frac{b}{{f+\mathrm{sign}\left(f\right)\times \sqrt{1+f^2}}}\text{,}
where :math:`f = \frac{{a-c}}{{2b}}`.
This is the eigenvalue nearer to :math:`c` if :math:`a\neq c`, and is equal to :math:`c-b` if :math:`a = c`.
"""
raise NotImplementedError
[docs]def zrotgc(a, b):
r"""
``zrotgc`` generates a complex Givens plane rotation having real cosine.
.. _f06ca-py2-py-doc:
For full information please refer to the NAG Library document for f06ca
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06caf.html
.. _f06ca-py2-py-parameters:
**Parameters**
**a** : complex
The value :math:`a`, the first element of the vector which determines the rotation.
**b** : complex
The value :math:`b`, the second element of the vector which determines the rotation.
**Returns**
**a** : complex
The value :math:`d`.
**b** : complex
The value :math:`t`, the tangent of the rotation.
**c** : float
The value :math:`c`, the cosine of the rotation.
**s** : complex
The value :math:`s`, the sine of the rotation.
.. _f06ca-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zrotgc`` generates a complex Givens plane rotation with parameters :math:`c` (real :math:`\text{}\geq 0`) and :math:`s` (complex), such that, given complex :math:`a` and :math:`b`:
.. math::
\begin{pmatrix}c&\bar{s}\\-s&c\end{pmatrix}\begin{pmatrix}a\\b\end{pmatrix} = \begin{pmatrix}d\\0\end{pmatrix}\text{.}
If :math:`a` is real, then :math:`d` is also real.
On exit, :math:`b` is overwritten by :math:`t`, the tangent of the rotation; :math:`c` and :math:`s` can be reconstructed from the single stored value :math:`t`, by a subsequent call to :meth:`zcsg`.
If :math:`\left\lvert b\right\rvert < \epsilon \left\lvert a\right\rvert`, where :math:`\epsilon` is the machine precision, the function sets :math:`c = 1` and :math:`s = t`.
Note that :math:`t` is always set to :math:`b/a`, unless overflow would occur, in which case the function returns the value of the complex expression
.. math::
\left({\textit{flmax}\times \mathrm{sign}\left(\mathrm{Re}\left(b\right)/a\right)}, {\textit{flmax}\times \mathrm{sign}\left(\mathrm{Im}\left(b\right)/a\right)}\right)\text{;}
:math:`\textit{flmax}` is the `float` value given by :math:`1/\left(\texttt{machine.real_safe}\right)`.
"""
raise NotImplementedError
[docs]def zrotgs(a, b):
r"""
``zrotgs`` generates a complex Givens plane rotation having real sine.
.. _f06cb-py2-py-doc:
For full information please refer to the NAG Library document for f06cb
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06cbf.html
.. _f06cb-py2-py-parameters:
**Parameters**
**a** : complex
The value :math:`a`, the first element of the vector which determines the rotation.
**b** : complex
The value :math:`b`, the second element of the vector which determines the rotation.
**Returns**
**a** : complex
The value :math:`d`.
**b** : complex
The value :math:`t`, the tangent of the rotation.
**c** : complex
The value :math:`c`, the cosine of the rotation.
**s** : float
The value :math:`s`, the sine of the rotation.
.. _f06cb-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zrotgs`` generates a complex Givens plane rotation with parameters :math:`c` (complex) and :math:`s` (real), such that, given complex :math:`a` and :math:`b`:
.. math::
\begin{pmatrix}\bar{c}&s\\-s&c\end{pmatrix}\begin{pmatrix}a\\b\end{pmatrix} = \begin{pmatrix}d\\0\end{pmatrix}\text{,}
If :math:`b` is real, then :math:`d` is also real.
On exit, :math:`b` is overwritten by :math:`t`, the tangent of the rotation; :math:`c` and :math:`s` can be reconstructed from the single stored value :math:`t`, by a subsequent call to :meth:`zcsgs`.
If :math:`\left\lvert b\right\rvert < \epsilon \left\lvert a\right\rvert` and :math:`\mathrm{Im}\left(a\right) = 0`, where :math:`\epsilon` is the machine precision, the function sets :math:`c = 1` and :math:`s = \left\lvert t\right\rvert`.
If :math:`\left\lvert b\right\rvert < \epsilon \left\lvert a\right\rvert` and :math:`\mathrm{Im}\left(a\right)\neq 0`, the function sets
.. math::
c = \frac{{\mathrm{sign}\left(\mathrm{Re}\left(a\right)\right)a}}{{\left\lvert a\right\rvert }}\quad \text{ and }\quad s = \left\lvert t\right\rvert
Note that :math:`t` is always set to :math:`b/a`, unless overflow would occur, in which case the function returns the value of the complex expression
.. math::
\left({\textit{flmax}\times \mathrm{sign}\left(\mathrm{Re}\left(b\right)/a\right)}, {\textit{flmax}\times \mathrm{sign}\left(\mathrm{Im}\left(b\right)/a\right)}\right)\text{;}
:math:`\textit{flmax}` is the `float` value given by :math:`1/\left(\texttt{machine.real_safe}\right)`.
"""
raise NotImplementedError
[docs]def zcsg(t):
r"""
``zcsg`` reconstructs the parameters :math:`c` (real) and :math:`s` (complex) of a complex plane rotation from the tangent of that rotation.
.. _f06cc-py2-py-doc:
For full information please refer to the NAG Library document for f06cc
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06ccf.html
.. _f06cc-py2-py-parameters:
**Parameters**
**t** : complex
The value :math:`t`, the tangent of the rotation.
**Returns**
**c** : float
The value :math:`c`, the cosine of the rotation.
**s** : complex
The value :math:`s`, the sine of the rotation.
.. _f06cc-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zcsg`` reconstructs the parameters :math:`c` (real) and :math:`s` (complex) of a complex plane rotation, from the value of the tangent :math:`t`, as returned by :meth:`zrotgc`:
.. math::
c = \frac{1}{{\sqrt{1+\left\lvert t\right\rvert^2}}}\text{, }\quad s = ct\text{,}
so that :math:`c` is always real and non-negative.
If :math:`\left\lvert t\right\rvert < \sqrt{\epsilon }`, where :math:`\epsilon` is the machine precision, the function sets :math:`c = 1` and :math:`s = t`.
"""
raise NotImplementedError
[docs]def zcsgs(t):
r"""
``zcsgs`` reconstructs the parameters :math:`c` (complex) and :math:`s` (real) of a complex plane rotation from the tangent of that rotation.
.. _f06cd-py2-py-doc:
For full information please refer to the NAG Library document for f06cd
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06cdf.html
.. _f06cd-py2-py-parameters:
**Parameters**
**t** : complex
The value :math:`t`, the tangent of the rotation.
**Returns**
**c** : complex
The value :math:`c`, the cosine of the rotation.
**s** : float
The value :math:`s`, the sine of the rotation.
.. _f06cd-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zcsgs`` reconstructs the parameters :math:`c` (complex) and :math:`s` (real) of a complex plane rotation, from the value of the tangent :math:`t`, as returned by :meth:`zrotgs`:
.. math::
c = \frac{{\mathrm{sign}\left(\mathrm{Re}\left(t\right)\right)\left\lvert t\right\rvert }}{{t\sqrt{1+\left\lvert t\right\rvert^2}}}\text{, }\quad s = ct\text{.}
If :math:`\left\lvert t\right\rvert < \sqrt{\epsilon }`, where :math:`\epsilon` is the machine precision, the function sets:
.. math::
c = \frac{{\mathrm{sign}\left(\mathrm{Re}\left(t\right)\right)\left\lvert t\right\rvert }}{t}\text{, }\quad s = \mathrm{sign}\left(\mathrm{Re}\left(t\right)\right)\left\lvert t\right\rvert \text{.}
"""
raise NotImplementedError
[docs]def zrot2(x, y, z, c, s):
r"""
``zrot2`` applies a complex similarity rotation having real cosine and complex sine to a :math:`2\times 2` complex Hermitian matrix.
.. _f06ch-py2-py-doc:
For full information please refer to the NAG Library document for f06ch
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06chf.html
.. _f06ch-py2-py-parameters:
**Parameters**
**x** : complex
The value :math:`x`, the :math:`\left(1, 1\right)` element of the input matrix.
**y** : complex
The value :math:`y`, the :math:`\left(1, 2\right)` element of the input matrix.
**z** : complex
The value :math:`z`, the :math:`\left(2, 2\right)` element of the input matrix.
**c** : float
The value :math:`c`, the cosine of the rotation.
**s** : complex
The value :math:`s`, the sine of the rotation.
**Returns**
**x** : complex
The transformed value :math:`x`.
**y** : complex
The transformed value :math:`y`.
**z** : complex
The transformed value :math:`z`.
.. _f06ch-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zrot2`` applies a complex similarity rotation, with parameters :math:`c` (real) and :math:`s` (complex), to a given :math:`2\times 2` complex Hermitian matrix; that is, it performs the operation:
.. math::
\begin{pmatrix}x&y\\\bar{y}&z\end{pmatrix}←\begin{pmatrix}c&\bar{s}\\-s&c\end{pmatrix}\begin{pmatrix}x&y\\\bar{y}&z\end{pmatrix}\begin{pmatrix}c&-\bar{s}\\s&c\end{pmatrix}\text{,}
where :math:`x` and :math:`z` are real.
The argument :math:`\mathrm{x}` and :math:`\mathrm{z}` which hold :math:`x` and :math:`z` are declared `complex` for convenience when using the function to operate on submatrices of larger Hermitian matrices.
Note that:
.. math::
\begin{pmatrix}z&\bar{y}\\y&x\end{pmatrix}←\begin{pmatrix}c&\bar{w}\\-w&c\end{pmatrix}\begin{pmatrix}z&\bar{y}\\y&x\end{pmatrix}\begin{pmatrix}c&-\bar{w}\\w&c\end{pmatrix}\text{,}
where :math:`w = -\bar{s}`, so to use ``zrot2`` when :math:`y` is the :math:`\left(2, 1\right)` element of the matrix, you can make the call to ``zrot2`` using :math:`\mathrm{s} = w`
"""
raise NotImplementedError
[docs]def zdiv(a, b):
r"""
``zdiv`` computes the quotient of two complex scalars.
.. _f06cl-py2-py-doc:
For full information please refer to the NAG Library document for f06cl
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06clf.html
.. _f06cl-py2-py-parameters:
**Parameters**
**a** : complex
The value :math:`a`.
**b** : complex
The value :math:`b`.
**Returns**
**sdiv** : complex
The value :math:`q`.
**fail** : bool
:math:`\mathbf{True}` if :math:`a/b` would overflow (in which case :math:`\left\lvert \mathrm{Re}\left(q\right)\right\rvert = \left\lvert \mathrm{Im}\left(q\right)\right\rvert = \textit{flmax}`) or :math:`a = b = 0` (in which case :math:`q = 0`); otherwise :math:`\mathbf{False}`.
.. _f06cl-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zdiv`` returns the value :math:`q`, where
.. math::
q = \left\{\begin{array}{ll}a/b\text{,}&\text{if }a/b\text{ does not overflow,}\\0\text{,}&\text{if }a = 0\text{,}\\\textit{cflmax}\text{,}&\text{if }a\neq 0\text{ and }a/b\text{ would overflow.}\end{array}\right.
Here :math:`\textit{cflmax}` is a large `complex` value, given by
.. math::
\textit{cflmax} = \left({\textit{flmax}\times \mathrm{sign}\left(\mathrm{Re}\left(a\right)/b\right)}, {\textit{flmax}\times \mathrm{sign}\left(\mathrm{Im}\left(a\right)/b\right)}\right)\text{;}
:math:`\textit{flmax}` is the `float` value given by :math:`1/\left(\texttt{machine.real_safe}\right)`, and for `float` :math:`x`, :math:`\mathrm{sign}\left(x/0\right)` is taken as :math:`\mathrm{sign}\left(x\right)`.
"""
raise NotImplementedError
[docs]def iload(n, con):
r"""
``iload`` broadcasts an integer scalar into an integer vector.
.. _f06db-py2-py-doc:
For full information please refer to the NAG Library document for f06db
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06dbf.html
.. _f06db-py2-py-parameters:
**Parameters**
**n** : int
:math:`n`, the number of elements in :math:`x`.
**con** : int
The scalar :math:`\alpha`.
**Returns**
**x** : int, ndarray, shape :math:`\left(\mathrm{n}\right)`
The elements :math:`x_i` of the vector :math:`x`.
.. _f06db-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx} > 0`.
.. _f06db-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``iload`` performs the operation
.. math::
x←\left(\alpha, \alpha, \ldots, \alpha \right)^\mathrm{T}\text{,}
where :math:`x` is an :math:`n`-element integer vector.
"""
raise NotImplementedError
[docs]def icopy(x):
r"""
``icopy`` copies an integer vector.
.. _f06df-py2-py-doc:
For full information please refer to the NAG Library document for f06df
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06dff.html
.. _f06df-py2-py-parameters:
**Parameters**
**x** : int, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**Returns**
**y** : int, ndarray, shape :math:`\left(n\right)`
The elements :math:`y_i` of the vector :math:`y`.
.. _f06df-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``icopy`` performs the operation
.. math::
y←x
where :math:`x` and :math:`y` are :math:`n`-element integer vectors.
"""
raise NotImplementedError
[docs]def ddot(x, y):
r"""
``ddot`` computes the scalar product of two real vectors.
.. _f06ea-py2-py-doc:
For full information please refer to the NAG Library document for f06ea
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06eaf.html
.. _f06ea-py2-py-parameters:
**Parameters**
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**y** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`y`.
**Returns**
**d** : float
The scalar product.
.. _f06ea-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``ddot`` returns the value of the scalar product
.. math::
x^\mathrm{T}y
where :math:`x` and :math:`y` are :math:`n`-element real vectors.
.. _f06ea-py2-py-references:
**References**
Lawson, C L, Hanson, R J, Kincaid, D R and Krogh, F T, 1979, `Basic linear algebra supbrograms for Fortran usage`, ACM Trans. Math. Software (5), 308--325
"""
raise NotImplementedError
[docs]def daxpy(alpha, x, y):
r"""
``daxpy`` adds a scaled real vector to an unscaled real vector.
.. _f06ec-py2-py-doc:
For full information please refer to the NAG Library document for f06ec
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06ecf.html
.. _f06ec-py2-py-parameters:
**Parameters**
**alpha** : float
The scalar :math:`\alpha`.
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**y** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`y`.
**Returns**
**y** : float, ndarray, shape :math:`\left(n\right)`
The updated vector :math:`y`.
.. _f06ec-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``daxpy`` performs the operation
.. math::
y←\alpha x+y
where :math:`x` and :math:`y` are :math:`n`-element real vectors, and :math:`\alpha` is a real scalar.
.. _f06ec-py2-py-references:
**References**
Lawson, C L, Hanson, R J, Kincaid, D R and Krogh, F T, 1979, `Basic linear algebra supbrograms for Fortran usage`, ACM Trans. Math. Software (5), 308--325
"""
raise NotImplementedError
[docs]def dscal(alpha, x):
r"""
``dscal`` multiplies a real vector by a real scalar.
.. _f06ed-py2-py-doc:
For full information please refer to the NAG Library document for f06ed
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06edf.html
.. _f06ed-py2-py-parameters:
**Parameters**
**alpha** : float
The scalar :math:`\alpha`.
**x** : float, ndarray, shape :math:`\left(n\right)`, modified in place
`On entry`: the :math:`n`-element vector :math:`x`.
`On exit`: the vector :math:`\alpha x`.
.. _f06ed-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx} > 0`.
.. _f06ed-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dscal`` performs the operation
.. math::
x←\alpha x
where :math:`x` is an :math:`n`-element real vector, and :math:`\alpha` is a real scalar.
.. _f06ed-py2-py-references:
**References**
Lawson, C L, Hanson, R J, Kincaid, D R and Krogh, F T, 1979, `Basic linear algebra supbrograms for Fortran usage`, ACM Trans. Math. Software (5), 308--325
"""
raise NotImplementedError
[docs]def dcopy(x):
r"""
``dcopy`` makes a copy of a real vector.
.. _f06ef-py2-py-doc:
For full information please refer to the NAG Library document for f06ef
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06eff.html
.. _f06ef-py2-py-parameters:
**Parameters**
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**Returns**
**y** : float, ndarray, shape :math:`\left(n\right)`
The elements :math:`y_i` of the vector :math:`y`.
.. _f06ef-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dcopy`` performs the operation
.. math::
y←x
where :math:`x` and :math:`y` are :math:`n`-element real vectors.
.. _f06ef-py2-py-references:
**References**
Lawson, C L, Hanson, R J, Kincaid, D R and Krogh, F T, 1979, `Basic linear algebra supbrograms for Fortran usage`, ACM Trans. Math. Software (5), 308--325
"""
raise NotImplementedError
[docs]def dswap(x, y):
r"""
``dswap`` interchanges two :math:`n`-element real vectors :math:`x` and :math:`y`.
.. _f06eg-py2-py-doc:
For full information please refer to the NAG Library document for f06eg
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06egf.html
.. _f06eg-py2-py-parameters:
**Parameters**
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**y** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`y`.
**Returns**
**x** : float, ndarray, shape :math:`\left(n\right)`
The original vector :math:`y`.
**y** : float, ndarray, shape :math:`\left(n\right)`
The original vector :math:`x`.
.. _f06eg-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dswap`` interchanges the elements of real vectors :math:`x` and :math:`y`.
.. _f06eg-py2-py-references:
**References**
Lawson, C L, Hanson, R J, Kincaid, D R and Krogh, F T, 1979, `Basic linear algebra supbrograms for Fortran usage`, ACM Trans. Math. Software (5), 308--325
"""
raise NotImplementedError
[docs]def dnrm2(x):
r"""
``dnrm2`` returns the Euclidean norm of the :math:`n`-element real vector :math:`x`.
.. _f06ej-py2-py-doc:
For full information please refer to the NAG Library document for f06ej
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06ejf.html
.. _f06ej-py2-py-parameters:
**Parameters**
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**Returns**
**nrm** : float
The Euclidean norm.
.. _f06ej-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx} > 0`.
.. _f06ej-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dnrm2`` returns the Euclidean norm
.. math::
\left\lVert x\right\rVert_2 = \sqrt{x^\mathrm{T}x}
of the :math:`n`-element real vector :math:`x`.
.. _f06ej-py2-py-references:
**References**
Lawson, C L, Hanson, R J, Kincaid, D R and Krogh, F T, 1979, `Basic linear algebra supbrograms for Fortran usage`, ACM Trans. Math. Software (5), 308--325
"""
raise NotImplementedError
[docs]def dasum(x):
r"""
``dasum`` returns the :math:`1`-norm of the :math:`n`-element real vector :math:`x`.
.. _f06ek-py2-py-doc:
For full information please refer to the NAG Library document for f06ek
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06ekf.html
.. _f06ek-py2-py-parameters:
**Parameters**
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**Returns**
**sumx** : float
The :math:`1`-norm of the :math:`n`-element real vector :math:`x`.
.. _f06ek-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx} > 0`.
.. _f06ek-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dasum``, returns the :math:`1`-norm
.. math::
\left\lvert x_1\right\rvert +\left\lvert x_2\right\rvert + \cdots +\left\lvert x_n\right\rvert
of the :math:`n`-element real vector :math:`x`.
.. _f06ek-py2-py-references:
**References**
Lawson, C L, Hanson, R J, Kincaid, D R and Krogh, F T, 1979, `Basic linear algebra supbrograms for Fortran usage`, ACM Trans. Math. Software (5), 308--325
"""
raise NotImplementedError
[docs]def drot(x, y, c, s):
r"""
``drot`` applies a real plane rotation to two real vectors.
.. _f06ep-py2-py-doc:
For full information please refer to the NAG Library document for f06ep
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06epf.html
.. _f06ep-py2-py-parameters:
**Parameters**
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**y** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`y`.
**c** : float
The value :math:`c`, the cosine of the rotation.
**s** : float
The value :math:`s`, the sine of the rotation.
**Returns**
**x** : float, ndarray, shape :math:`\left(n\right)`
The transformed vector :math:`x`.
**y** : float, ndarray, shape :math:`\left(n\right)`
The transformed vector :math:`y`.
.. _f06ep-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``drot`` applies a real plane rotation to two :math:`n`-element real vectors :math:`x` and :math:`y`:
.. math::
\begin{pmatrix}x^\mathrm{T}\\y^\mathrm{T}\end{pmatrix}←\begin{pmatrix}c&s\\-s&c\end{pmatrix}\begin{pmatrix}x^\mathrm{T}\\y^\mathrm{T}\end{pmatrix}\text{.}
The plane rotation has the form generated by :meth:`drotg` or :meth:`drotgc`.
.. _f06ep-py2-py-references:
**References**
Lawson, C L, Hanson, R J, Kincaid, D R and Krogh, F T, 1979, `Basic linear algebra supbrograms for Fortran usage`, ACM Trans. Math. Software (5), 308--325
"""
raise NotImplementedError
[docs]def ddoti(x, indx, y):
r"""
``ddoti`` computes the scalar product of a sparse real vector, stored in compressed form, with a real vector.
.. _f06er-py2-py-doc:
For full information please refer to the NAG Library document for f06er
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06erf.html
.. _f06er-py2-py-parameters:
**Parameters**
**x** : float, array-like, shape :math:`\left(\textit{nz}\right)`
The nonzero elements of the sparse vector :math:`x`.
**indx** : int, array-like, shape :math:`\left(\textit{nz}\right)`
:math:`\mathrm{indx}[\textit{i}-1]` must contain the index of :math:`\mathrm{x}[\textit{i}-1]` in the sparse vector :math:`x`, for :math:`\textit{i} = 1,2,\ldots,\textit{nz}`.
**y** : float, array-like, shape :math:`\left(\max\left(\mathrm{indx}\right)\right)`
The vector :math:`y`. Only elements corresponding to indices in :math:`\mathrm{indx}` are accessed.
**Returns**
**d** : float
The scalar product of the sparse real vector, :math:`x`, with the real vector :math:`y`.
.. _f06er-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``ddoti`` returns the value of the scalar product
.. math::
x^\mathrm{T}y = x\left(1\right)\times y\left(\textit{indx}\left(1\right)\right)+x\left(2\right)\times y\left(\textit{indy}\left(2\right)\right)+ \cdots +x\left(nz\right)\times y\left(\textit{indx}\left(nz\right)\right)
where :math:`x` is a sparse real vector, stored in compressed form and :math:`y` is a real vector in full storage format.
.. _f06er-py2-py-references:
**References**
Dodson, D S, Grimes, R G and Lewis, J G, 1991, `Sparse extensions to the Fortran basic linear algebra subprograms`, ACM Trans. Math. Software (17), 253--263
"""
raise NotImplementedError
[docs]def daxpyi(a, x, indx, y):
r"""
``daxpyi`` adds a scaled sparse real vector, stored in compressed form, to an unscaled real vector.
.. _f06et-py2-py-doc:
For full information please refer to the NAG Library document for f06et
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06etf.html
.. _f06et-py2-py-parameters:
**Parameters**
**a** : float
The scalar :math:`\alpha`.
**x** : float, array-like, shape :math:`\left(\textit{nz}\right)`
The nonzero elements of the sparse vector :math:`x`.
**indx** : int, array-like, shape :math:`\left(\textit{nz}\right)`
:math:`\mathrm{indx}[\textit{i}-1]` must contain the index of :math:`\mathrm{x}[\textit{i}-1]` in the sparse vector :math:`x`, for :math:`\textit{i} = 1,2,\ldots,\textit{nz}`.
**y** : float, array-like, shape :math:`\left(\max\left(\mathrm{indx}\right)\right)`
The vector :math:`y`. Only elements corresponding to indices in :math:`\mathrm{indx}` are accessed.
**Returns**
**y** : float, ndarray, shape :math:`\left(\max\left(\mathrm{indx}\right)\right)`
The updated vector :math:`y`.
.. _f06et-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``daxpyi`` performs the operation
.. math::
y←\alpha x+y
where :math:`x` is a sparse real vector, stored in compressed form, and :math:`y` is a real vector in full storage form.
.. _f06et-py2-py-references:
**References**
Dodson, D S, Grimes, R G and Lewis, J G, 1991, `Sparse extensions to the Fortran basic linear algebra subprograms`, ACM Trans. Math. Software (17), 253--263
"""
raise NotImplementedError
[docs]def dgthr(y, indx):
r"""
``dgthr`` gathers specified (usually nonzero) elements of a real vector :math:`y` in full storage form into a sparse real vector :math:`x` in compressed form.
.. _f06eu-py2-py-doc:
For full information please refer to the NAG Library document for f06eu
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06euf.html
.. _f06eu-py2-py-parameters:
**Parameters**
**y** : float, array-like, shape :math:`\left(\max\left(\mathrm{indx}\right)\right)`
The vector :math:`y`. Only elements corresponding to indices in :math:`\mathrm{indx}` are accessed.
**indx** : int, array-like, shape :math:`\left(\textit{nz}\right)`
:math:`\mathrm{indx}[\textit{i}-1]` must contain the index :math:`\mathrm{y}[\textit{i}-1]`, for :math:`\textit{i} = 1,2,\ldots,\textit{nz}`, which is to be gathered into :math:`x`.
**Returns**
**x** : float, ndarray, shape :math:`\left(\textit{nz}\right)`
The compressed vector :math:`x`.
.. _f06eu-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dgthr`` gathers the specified elements of a vector, :math:`y`, in full storage form, into :math:`x`, the equivalent sparse vector compressed form.
.. _f06eu-py2-py-references:
**References**
Dodson, D S, Grimes, R G and Lewis, J G, 1991, `Sparse extensions to the Fortran basic linear algebra subprograms`, ACM Trans. Math. Software (17), 253--263
"""
raise NotImplementedError
[docs]def dgthrz(y, indx):
r"""
``dgthrz`` gathers specified (usually nonzero) elements of a real vector :math:`y` in full storage form into a sparse real vector :math:`x` in compressed form.
The specified elements of :math:`y` are set to zero.
.. _f06ev-py2-py-doc:
For full information please refer to the NAG Library document for f06ev
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06evf.html
.. _f06ev-py2-py-parameters:
**Parameters**
**y** : float, array-like, shape :math:`\left(\max\left(\mathrm{indx}\right)\right)`
The vector :math:`y`. Only elements corresponding to indices in :math:`\mathrm{indx}` are accessed.
**indx** : int, array-like, shape :math:`\left(\textit{nz}\right)`
:math:`\mathrm{indx}[\textit{i}-1]` must contain the index :math:`\mathrm{y}[\textit{i}-1]`, for :math:`\textit{i} = 1,2,\ldots,\textit{nz}`, which is to be gathered into :math:`x`.
**Returns**
**y** : float, ndarray, shape :math:`\left(\max\left(\mathrm{indx}\right)\right)`
The elements of :math:`y` corresponding to indices in :math:`\mathrm{indx}` are set to zero.
**x** : float, ndarray, shape :math:`\left(\textit{nz}\right)`
The compressed vector :math:`x`.
.. _f06ev-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{indx}`.
Constraint: the indices must be distinct.
.. _f06ev-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dgthrz`` gathers the specified elements of a vector, :math:`y`, in full storage form, into the equivalent sparse vector compressed form.
The gathered elements of :math:`y` are set to zero.
.. _f06ev-py2-py-references:
**References**
Dodson, D S, Grimes, R G and Lewis, J G, 1991, `Sparse extensions to the Fortran basic linear algebra subprograms`, ACM Trans. Math. Software (17), 253--263
"""
raise NotImplementedError
[docs]def dsctr(x, indx, y):
r"""
``dsctr`` scatters the elements of a sparse real vector :math:`x` stored in compressed form, into a real vector :math:`y` in full storage form.
.. _f06ew-py2-py-doc:
For full information please refer to the NAG Library document for f06ew
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06ewf.html
.. _f06ew-py2-py-parameters:
**Parameters**
**x** : float, array-like, shape :math:`\left(\textit{nz}\right)`
The nonzero elements of the sparse vector :math:`x`.
**indx** : int, array-like, shape :math:`\left(\textit{nz}\right)`
:math:`\mathrm{indx}[\textit{i}-1]` must contain the index of :math:`\mathrm{x}[\textit{i}-1]` in the sparse vector :math:`x`, for :math:`\textit{i} = 1,2,\ldots,\textit{nz}`.
**y** : float, array-like, shape :math:`\left(\max\left(\mathrm{indx}\right)\right)`
The vector :math:`y`.
**Returns**
**y** : float, ndarray, shape :math:`\left(\max\left(\mathrm{indx}\right)\right)`
The vector :math:`y`, with the elements corresponding to indices in :math:`\mathrm{indx}` altered.
.. _f06ew-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dsctr`` scatters the elements of a vector :math:`x`, stored in compressed form, into a vector, :math:`y`, in full storage form.
.. _f06ew-py2-py-references:
**References**
Dodson, D S, Grimes, R G and Lewis, J G, 1991, `Sparse extensions to the Fortran basic linear algebra subprograms`, ACM Trans. Math. Software (17), 253--263
"""
raise NotImplementedError
[docs]def droti(x, indx, y, c, s):
r"""
``droti`` applies a real plane rotation to a sparse real vector and a real vector.
.. _f06ex-py2-py-doc:
For full information please refer to the NAG Library document for f06ex
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06exf.html
.. _f06ex-py2-py-parameters:
**Parameters**
**x** : float, array-like, shape :math:`\left(\textit{nz}\right)`
The nonzero elements of the sparse vector :math:`x`.
**indx** : int, array-like, shape :math:`\left(\textit{nz}\right)`
:math:`\mathrm{indx}[\textit{i}-1]` must contain the index of :math:`\mathrm{x}[\textit{i}-1]` in the sparse vector :math:`x`, for :math:`\textit{i} = 1,2,\ldots,\textit{nz}`.
**y** : float, array-like, shape :math:`\left(\max\left(\mathrm{indx}\right)\right)`
The vector :math:`y`. Only the elements corresponding to indices in :math:`\mathrm{indx}` are referenced.
**c** : float
The value :math:`c`, the cosine of the rotation.
**s** : float
The value :math:`s`, the sine of the rotation.
**Returns**
**x** : float, ndarray, shape :math:`\left(\textit{nz}\right)`
The transformed vector :math:`x`.
**y** : float, ndarray, shape :math:`\left(\max\left(\mathrm{indx}\right)\right)`
The transformed vector :math:`y`. Only elements corresponding to indices in :math:`\mathrm{indx}` are altered.
.. _f06ex-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``droti`` applies a real plane rotation to a sparse real vector :math:`x` stored in compressed form and a real vector :math:`y` in full storage form:
.. math::
\begin{pmatrix}x^\mathrm{T}\\y^\mathrm{T}\end{pmatrix}←\begin{pmatrix}c&s\\-s&c\end{pmatrix}\begin{pmatrix}x^\mathrm{T}\\y^\mathrm{T}\end{pmatrix}\text{.}
The plane rotation has the form generated by :meth:`drotg` or :meth:`drotgc`.
.. _f06ex-py2-py-references:
**References**
Dodson, D S, Grimes, R G and Lewis, J G, 1991, `Sparse extensions to the Fortran basic linear algebra subprograms`, ACM Trans. Math. Software (17), 253--263
"""
raise NotImplementedError
[docs]def dvcos(j, tolx, x, toly, y):
r"""
``dvcos`` computes the cosine of the angle between two real vectors.
.. _f06fa-py2-py-doc:
For full information please refer to the NAG Library document for f06fa
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06faf.html
.. _f06fa-py2-py-parameters:
**Parameters**
**j** : int
If the vector :math:`y` is supplied in :math:`\mathrm{y}`, :math:`\mathrm{j}` should be set to :math:`0`. Otherwise, :math:`\mathrm{j}` specifies the index :math:`j` of the unit vector :math:`e_j` to be used as :math:`y`.
**tolx** : float
The value :math:`\textit{tolx}`, used to determine whether :math:`\left\lVert x\right\rVert_2` is effectively zero.
If :math:`\mathrm{tolx}` is negative, the value zero is used.
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**toly** : float
The value :math:`\textit{toly}`, used to determine whether :math:`\left\lVert y\right\rVert_2` is effectively zero.
If :math:`\mathrm{toly}` is negative, the value zero is used.
**y** : float, array-like, shape :math:`\left(n\right)`
If :math:`1\leq \mathrm{j}\leq n`, :math:`\mathrm{y}` is not referenced. Otherwise, :math:`\mathrm{y}` holds the vector :math:`y`.
**Returns**
**vcos** : float
The cosine of the angle between :math:`x` and :math:`y`.
.. _f06fa-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dvcos`` returns the cosine of the angle between two :math:`n`-element real vectors :math:`x` and :math:`y`, given by the expression
.. math::
\frac{{x^\mathrm{T}y}}{{\left\lVert x\right\rVert_2\left\lVert y\right\rVert_2}}\text{.}
If :math:`1\leq j\leq n`, :math:`y` is taken to be the unit vector :math:`e_j`, in which case the array :math:`\mathrm{y}` is not referenced.
If :math:`\left\lVert x\right\rVert_2\leq \textit{tolx}`, the function returns :math:`2.0`; if :math:`\left\lVert x\right\rVert_2 > \textit{tolx}` but :math:`\left\lVert y\right\rVert_2\leq \textit{tol}y`, the function returns :math:`{-2.0}`; otherwise the value returned is in the range :math:`\left({-1.0}, 1.0\right)`.
"""
raise NotImplementedError
[docs]def dload(n, con):
r"""
``dload`` broadcasts a real scalar into a real vector.
.. _f06fb-py2-py-doc:
For full information please refer to the NAG Library document for f06fb
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06fbf.html
.. _f06fb-py2-py-parameters:
**Parameters**
**n** : int
:math:`n`, the number of elements in :math:`x`.
**con** : float
The scalar :math:`\alpha`.
**Returns**
**x** : float, ndarray, shape :math:`\left(\mathrm{n}\right)`
The elements :math:`x_i` of the vector :math:`x`.
.. _f06fb-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx} > 0`.
.. _f06fb-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dload`` performs the operation
.. math::
x←\left(\alpha, \alpha, \ldots, \alpha \right)^\mathrm{T}\text{,}
where :math:`x` is an :math:`n`-element real vector.
"""
raise NotImplementedError
[docs]def ddscl(d, x):
r"""
``ddscl`` multiplies a real vector by a real diagonal matrix.
.. _f06fc-py2-py-doc:
For full information please refer to the NAG Library document for f06fc
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06fcf.html
.. _f06fc-py2-py-parameters:
**Parameters**
**d** : float, array-like, shape :math:`\left(n\right)`
The vector :math:`d`.
**x** : float, array-like, shape :math:`\left(n\right)`
The array :math:`\mathrm{x}` must contain the :math:`n`-element vector :math:`x`.
**Returns**
**x** : float, ndarray, shape :math:`\left(n\right)`
The updated vector :math:`x`.
.. _f06fc-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``ddscl`` performs the operation
.. math::
x←Dx
where :math:`x` is an :math:`n`-element real vector and :math:`D = \mathrm{diag}\left(d\right)` is a real diagonal matrix.
Equivalently, the function performs the element-by-element product of the vectors :math:`x` and :math:`d`
.. math::
x_i = d_ix_i\text{, }\quad i = 1,2,\ldots,n\text{.}
"""
raise NotImplementedError
[docs]def axpzy(alpha, x):
r"""
``axpzy`` multiplies a real vector by a scalar, preserving the input vector.
.. _f06fd-py2-py-doc:
For full information please refer to the NAG Library document for f06fd
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06fdf.html
.. _f06fd-py2-py-parameters:
**Parameters**
**alpha** : float
The scalar :math:`\alpha`.
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**Returns**
**y** : float, ndarray, shape :math:`\left(n\right)`
The elements :math:`y_i` of the vector :math:`y`.
.. _f06fd-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``axpzy`` performs the operation
.. math::
y←\alpha x
where :math:`x` and :math:`y` are :math:`n`-element real vectors, and :math:`\alpha` is a real scalar.
"""
raise NotImplementedError
[docs]def drscl(alpha, x):
r"""
``drscl`` multiplies a real vector by the reciprocal of a scalar.
.. _f06fe-py2-py-doc:
For full information please refer to the NAG Library document for f06fe
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06fef.html
.. _f06fe-py2-py-parameters:
**Parameters**
**alpha** : float
The scalar :math:`\alpha`.
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**Returns**
**x** : float, ndarray, shape :math:`\left(n\right)`
The updated vector :math:`x`.
.. _f06fe-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{alpha}`.
Constraint: :math:`\mathrm{alpha}\neq 0.0`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx} > 0`.
.. _f06fe-py2-py-notes:
**Notes**
``drscl`` performs the operation
.. math::
x←\frac{1}{\alpha }x
where :math:`x` is an :math:`n`-element real vector and :math:`\alpha` is a real nonzero scalar.
"""
raise NotImplementedError
[docs]def dnegv(x):
r"""
``dnegv`` negates a real vector.
.. _f06fg-py2-py-doc:
For full information please refer to the NAG Library document for f06fg
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06fgf.html
.. _f06fg-py2-py-parameters:
**Parameters**
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**Returns**
**x** : float, ndarray, shape :math:`\left(n\right)`
The vector :math:`{-x}`.
.. _f06fg-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx} > 0`.
.. _f06fg-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dnegv`` performs the operation
.. math::
x←-x
where :math:`x` is an :math:`n`-element real vector.
"""
raise NotImplementedError
[docs]def dssq(x, scal, sumsq):
r"""
``dssq`` updates the Euclidean norm of real vector in scaled form.
.. _f06fj-py2-py-doc:
For full information please refer to the NAG Library document for f06fj
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06fjf.html
.. _f06fj-py2-py-parameters:
**Parameters**
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**scal** : float
The scaling factor :math:`\alpha`. On the first call to ``dssq`` :math:`\mathrm{scal} = 0.0`.
**sumsq** : float
The scaled sum of squares :math:`\xi`. On the first call to ``dssq`` :math:`\mathrm{sumsq} = 1.0`.
**Returns**
**scal** : float
The updated scaling factor :math:`\tilde{\alpha } = \mathrm{max}_i\left(\alpha, {\left\lvert x_i\right\rvert }\right)`.
**sumsq** : float
The updated scaled sum of squares :math:`\tilde{\xi }`, satisfying: :math:`1\leq \tilde{\xi }\leq \xi +n`.
.. _f06fj-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx} > 0`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{scal}`.
Constraint: :math:`\mathrm{scal}\geq 0.0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\mathrm{sumsq}`.
Constraint: :math:`\mathrm{sumsq}\geq 1.0`.
.. _f06fj-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
Given an :math:`n`-element real vector :math:`x`, and real scalars :math:`\alpha` and :math:`\xi`, ``dssq`` returns updated values :math:`\tilde{\alpha }` and :math:`\tilde{\xi }` such that
.. math::
\tilde{\alpha }^2\tilde{\xi } = x_1^2+x_2^2 + \cdots +x_n^2+\alpha^2\xi \text{.}
``dssq`` is designed for use in the safe computation of the Euclidean norm of a real vector, without unnecessary overflow or destructive underflow.
An initial call to ``dssq`` (with :math:`\xi = 1` and :math:`\alpha = 0`) may be followed by further calls to ``dssq`` and finally a call to :meth:`dnorm` to complete the computation.
Multiple calls of ``dssq`` may be needed if the elements of the vector cannot all be accessed in a single array :math:`\mathrm{x}`.
"""
raise NotImplementedError
[docs]def dnrm2w(w, x):
r"""
``dnrm2w`` computes the weighted Euclidean norm of a real vector.
.. _f06fk-py2-py-doc:
For full information please refer to the NAG Library document for f06fk
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06fkf.html
.. _f06fk-py2-py-parameters:
**Parameters**
**w** : float, array-like, shape :math:`\left(n\right)`
:math:`w`, the vector of weights.
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**Returns**
**nrm** : float
The weighted Euclidean norm of the real vector, :math:`x`.
.. _f06fk-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{w}`.
Constraint: the elements of the array must not be negative.
.. _f06fk-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dnrm2w`` returns the weighted Euclidean norm
.. math::
\sqrt{x^\mathrm{T}Wx}
of the :math:`n`-element real vector :math:`x`, where :math:`W = \mathrm{diag}\left(w\right)` and :math:`w` is a vector of weights.
"""
raise NotImplementedError
[docs]def darang(x):
r"""
``darang`` returns the absolutely largest and absolutely smallest values from a real vector.
.. _f06fl-py2-py-doc:
For full information please refer to the NAG Library document for f06fl
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06flf.html
.. _f06fl-py2-py-parameters:
**Parameters**
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**Returns**
**xmax** : float
The value :math:`x_{\mathrm{max}} = \mathrm{max}_i\left\lvert x_i\right\rvert`.
**xmin** : float
The value :math:`x_{\mathrm{min}} = \mathrm{min}_i\left\lvert x_i\right\rvert`.
.. _f06fl-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx} > 0`.
.. _f06fl-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``darang`` returns the values :math:`x_{\mathrm{max}}` and :math:`x_{\mathrm{min}}` given by
.. math::
x_{\mathrm{max}} = \mathrm{max}_i\left\lvert x_i\right\rvert \text{, }\quad x_{\mathrm{min}} = \mathrm{min}_i\left\lvert x_i\right\rvert \text{,}
where :math:`x` is an :math:`n`-element real vector.
If :math:`n < 1`, then :math:`x_{\mathrm{max}}` and :math:`x_{\mathrm{min}}` are returned as zero.
"""
raise NotImplementedError
[docs]def drots(x, y, c, s):
r"""
``drots`` applies a real symmetric plane rotation to two real vectors.
.. _f06fp-py2-py-doc:
For full information please refer to the NAG Library document for f06fp
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06fpf.html
.. _f06fp-py2-py-parameters:
**Parameters**
**x** : float, array-like, shape :math:`\left(n\right)`
The original vector :math:`x`.
**y** : float, array-like, shape :math:`\left(n\right)`
The original vector :math:`y`.
**c** : float
The value :math:`c`, the cosine of the rotation.
**s** : float
The value :math:`s`, the sine of the rotation.
**Returns**
**x** : float, ndarray, shape :math:`\left(n\right)`
The transformed vector :math:`x`.
**y** : float, ndarray, shape :math:`\left(n\right)`
The transformed vector :math:`y`.
.. _f06fp-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``drots`` applies a symmetric real plane rotation to two :math:`n`-element real vectors :math:`x` and :math:`y`:
.. math::
\begin{pmatrix}x^\mathrm{T}\\y^\mathrm{T}\end{pmatrix}←\begin{pmatrix}c&s\\s&-c\end{pmatrix}\begin{pmatrix}x^\mathrm{T}\\y^\mathrm{T}\end{pmatrix}\text{.}
"""
raise NotImplementedError
[docs]def dsrotg(pivot, direct, alpha, x):
r"""
``dsrotg`` generates a sequence of real plane rotations.
.. _f06fq-py2-py-doc:
For full information please refer to the NAG Library document for f06fq
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06fqf.html
.. _f06fq-py2-py-parameters:
**Parameters**
**pivot** : str, length 1
Specifies the plane rotated by :math:`P_k`.
:math:`\mathrm{pivot} = \texttt{'V'}` (variable pivot)
:math:`P_k` rotates the :math:`\left(k, {k+1}\right)` plane.
:math:`\mathrm{pivot} = \texttt{'F'}` (fixed pivot)
:math:`P_k` rotates the :math:`\left(1, {k+1}\right)` plane if :math:`\mathrm{direct} = \texttt{'F'}`, or the :math:`\left(k, {n+1}\right)` plane if :math:`\mathrm{direct} = \texttt{'B'}`.
**direct** : str, length 1
Specifies the sequence direction.
:math:`\mathrm{direct} = \texttt{'F'}` (forward sequence)
:math:`P = P_n \cdots P_2P_1`.
:math:`\mathrm{direct} = \texttt{'B'}` (backward sequence)
:math:`P = P_1P_2 \cdots P_n`.
**alpha** : float
The scalar :math:`\alpha`.
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**Returns**
**alpha** : float
The scalar :math:`\beta`.
**x** : float, ndarray, shape :math:`\left(n\right)`
The referenced elements are overwritten by details of the sequence of plane rotations.
**c** : float, ndarray, shape :math:`\left(n\right)`
The values :math:`c_k`, the cosines of the rotations.
**s** : float, ndarray, shape :math:`\left(n\right)`
The values :math:`s_k`, the sines of the rotations.
.. _f06fq-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{pivot}`.
Constraint: :math:`\mathrm{pivot} = \texttt{'V'}` or :math:`\texttt{'F'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{direct}`.
Constraint: :math:`\mathrm{direct} = \texttt{'F'}` or :math:`\texttt{'B'}`.
(`errno` :math:`6`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx} > 0`.
.. _f06fq-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dsrotg`` generates the parameters of a real orthogonal matrix :math:`P`, of order :math:`n+1`, chosen so as to set to zero the elements of a supplied :math:`n`-element real vector :math:`x`.
If :math:`\mathrm{pivot} = \texttt{'F'}` and :math:`\mathrm{direct} = \texttt{'F'}`, or if :math:`\mathrm{pivot} = \texttt{'V'}` and :math:`\mathrm{direct} = \texttt{'B'}`,
.. math::
P\begin{pmatrix}\alpha \\x\end{pmatrix} = \begin{pmatrix}\beta \\0\end{pmatrix}\text{;}
If :math:`\mathrm{pivot} = \texttt{'F'}` and :math:`\mathrm{direct} = \texttt{'B'}`, or if :math:`\mathrm{pivot} = \texttt{'V'}` and :math:`\mathrm{direct} = \texttt{'F'}`,
.. math::
P\begin{pmatrix}x\\\alpha \end{pmatrix} = \begin{pmatrix}0\\\beta \end{pmatrix}\text{.}
Here :math:`\alpha` and :math:`\beta` are real scalars.
:math:`P` is represented as a sequence of :math:`n` plane rotations :math:`P_k`, as specified by :math:`\mathrm{pivot}` and :math:`\mathrm{direct}`; :math:`P_k` is chosen to annihilate :math:`x_k`, and its :math:`2\times 2` plane rotation part has the form
.. math::
\begin{pmatrix}c_k&s_k\\-s_k&c_k\end{pmatrix}\text{.}
The tangent of the rotation, :math:`t_k`, is overwritten on :math:`x_k`.
"""
raise NotImplementedError
[docs]def dnhousg(alpha, x, tol):
r"""
``dnhousg`` generates a real elementary reflection in the NAG (as opposed to LINPACK) style.
.. _f06fr-py2-py-doc:
For full information please refer to the NAG Library document for f06fr
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06frf.html
.. _f06fr-py2-py-parameters:
**Parameters**
**alpha** : float
The scalar :math:`\alpha`.
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**tol** : float
The value :math:`\textit{tol}`.
**Returns**
**alpha** : float
The scalar :math:`\beta`.
**x** : float, ndarray, shape :math:`\left(n\right)`
The referenced elements are overwritten by details of the real elementary reflection.
**zeta** : float
The scalar :math:`\zeta`.
.. _f06fr-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx} > 0`.
.. _f06fr-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dnhousg`` generates details of a real elementary reflection (Householder matrix), :math:`P`, such that
.. math::
P\begin{pmatrix}\alpha \\x\end{pmatrix} = \begin{pmatrix}\beta \\0\end{pmatrix}
where :math:`P` is orthogonal, :math:`\alpha` and :math:`\beta` are real scalars, and :math:`x` is an :math:`n`-element real vector.
:math:`P` is given in the form
.. math::
P = I-\begin{pmatrix}\zeta \\z\end{pmatrix}\begin{pmatrix}\zeta &z^\mathrm{T}\end{pmatrix}\text{,}
where :math:`z` is an :math:`n`-element real vector and :math:`\zeta` is a real scalar.
If :math:`x` is such that
.. math::
\mathrm{max}\left(\left\lvert x_i\right\rvert \right)\leq \mathrm{max}\left(\textit{tol},\epsilon \left\lvert \alpha \right\rvert \right)
where :math:`\epsilon` is the machine precision and :math:`\textit{tol}` is a user-supplied tolerance, then :math:`\zeta` is set to :math:`0`, and :math:`P` can be taken to be the unit matrix.
Otherwise :math:`1\leq \zeta \leq \sqrt{2}`.
"""
raise NotImplementedError
[docs]def dlhousg(alpha, x, tol):
r"""
``dlhousg`` generates a real elementary reflection in the LINPACK (as opposed to NAG) style.
.. _f06fs-py2-py-doc:
For full information please refer to the NAG Library document for f06fs
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06fsf.html
.. _f06fs-py2-py-parameters:
**Parameters**
**alpha** : float
The scalar :math:`\alpha`.
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**tol** : float
The value :math:`\textit{tol}`.
If :math:`\mathrm{tol}` is not in the range :math:`\left(0, 1\right)`, the value :math:`0` is used for :math:`\textit{tol}`.
**Returns**
**alpha** : float
The scalar :math:`\beta`.
**x** : float, ndarray, shape :math:`\left(n\right)`
The referenced elements are overwritten by details of the real elementary reflection.
**z1** : float
The scalar :math:`\zeta`.
.. _f06fs-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx} > 0`.
.. _f06fs-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dlhousg`` generates details of a real elementary reflection (Householder matrix), :math:`P`, such that
.. math::
P\begin{pmatrix}\alpha \\x\end{pmatrix} = \begin{pmatrix}\beta \\0\end{pmatrix}
where :math:`P` is orthogonal, :math:`\alpha` and :math:`\beta` are real scalars, and :math:`x` is an :math:`n`-element real vector.
:math:`P` is given in the form
.. math::
P = I-\frac{1}{\zeta }\begin{pmatrix}\zeta \\z\end{pmatrix}\begin{pmatrix}\zeta &z^\mathrm{T}\end{pmatrix}\text{,}
where :math:`z` is an :math:`n`-element real vector and :math:`\zeta` is a real scalar. (This form is compatible with that used by LINPACK.)
If the elements of :math:`x` are all zero, or if the elements of :math:`x` are all less than :math:`\textit{tol}\times \left\lvert \alpha \right\rvert` in absolute value, then :math:`\zeta` is set to :math:`0` and :math:`P` can be taken to be the unit matrix.
Otherwise :math:`\zeta` always lies in the range :math:`\left(1, 2\right)`.
"""
raise NotImplementedError
[docs]def dnhous(delta, y, zeta, z):
r"""
``dnhous`` applies a NAG (as opposed to LINPACK) style real elementary reflection to a real vector.
.. _f06ft-py2-py-doc:
For full information please refer to the NAG Library document for f06ft
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06ftf.html
.. _f06ft-py2-py-parameters:
**Parameters**
**delta** : float
The original scalar :math:`\delta`.
**y** : float, array-like, shape :math:`\left(n\right)`
The original vector :math:`y`.
**zeta** : float
The scalar :math:`\zeta`, as returned by :meth:`dnhousg`.
If :math:`\zeta = 0`, :math:`P` is assumed to be the unit matrix and the transformation is skipped.
**z** : float, array-like, shape :math:`\left(n\right)`
The vector :math:`z`, as returned by :meth:`dnhousg`.
**Returns**
**delta** : float
The transformed scalar :math:`\delta`.
**y** : float, ndarray, shape :math:`\left(n\right)`
The transformed vector.
.. _f06ft-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`5`)
On entry, error in parameter :math:`\mathrm{zeta}`.
Constraint: :math:`\mathrm{zeta} = 0.0`.
.. _f06ft-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dnhous`` applies a real elementary reflection (Householder matrix) :math:`P`, as generated by :meth:`dnhousg`, to a given real vector:
.. math::
\begin{pmatrix}\delta \\y\end{pmatrix}←P\begin{pmatrix}\delta \\y\end{pmatrix}\text{,}
where :math:`y` is an :math:`n`-element real vector and :math:`\delta` a real scalar.
"""
raise NotImplementedError
[docs]def dlhous(z, z1, alpha, x):
r"""
``dlhous`` applies a LINPACK (as opposed to NAG) style real elementary reflection to a real vector.
.. _f06fu-py2-py-doc:
For full information please refer to the NAG Library document for f06fu
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06fuf.html
.. _f06fu-py2-py-parameters:
**Parameters**
**z** : float, array-like, shape :math:`\left(n\right)`
The vector :math:`z`, as returned by :meth:`dlhousg`.
**z1** : float
The scalar :math:`\zeta`, as returned by :meth:`dlhousg`.
If :math:`\zeta = 0`, :math:`P` is assumed to be the unit matrix and the transformation is skipped.
**alpha** : float
The original scalar :math:`\alpha`.
**x** : float, array-like, shape :math:`\left(n\right)`
The original vector :math:`x`.
**Returns**
**alpha** : float
The transformed scalar :math:`\alpha`.
**x** : float, ndarray, shape :math:`\left(n\right)`
The transformed vector :math:`x`.
.. _f06fu-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dlhous`` applies a real elementary reflection (Householder matrix) :math:`P`, as generated by :meth:`dlhousg`, to a given real vector:
.. math::
\begin{pmatrix}\alpha \\x\end{pmatrix}←P\begin{pmatrix}\alpha \\x\end{pmatrix}
where :math:`x` is an :math:`n`-element real vector and :math:`\alpha` a real scalar.
"""
raise NotImplementedError
[docs]def zdotu(x, y):
r"""
``zdotu`` computes the scalar product of two complex vectors.
.. _f06ga-py2-py-doc:
For full information please refer to the NAG Library document for f06ga
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06gaf.html
.. _f06ga-py2-py-parameters:
**Parameters**
**x** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**y** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`y`.
**Returns**
**zdu** : complex
The value of the scalar product.
.. _f06ga-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zdotu`` returns the value of the scalar product
.. math::
x^\mathrm{T}y
where :math:`x` and :math:`y` are :math:`n`-element complex vectors.
.. _f06ga-py2-py-references:
**References**
Lawson, C L, Hanson, R J, Kincaid, D R and Krogh, F T, 1979, `Basic linear algebra supbrograms for Fortran usage`, ACM Trans. Math. Software (5), 308--325
"""
raise NotImplementedError
[docs]def zdotc(x, y):
r"""
``zdotc`` computes the scalar product of two complex vectors.
.. _f06gb-py2-py-doc:
For full information please refer to the NAG Library document for f06gb
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06gbf.html
.. _f06gb-py2-py-parameters:
**Parameters**
**x** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**y** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`y`.
**Returns**
**zdc** : complex
The value of the scalar product.
.. _f06gb-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zdotc`` returns the value of the scalar product
.. math::
x^\mathrm{H}y
where :math:`x` and :math:`y` are :math:`n`-element complex vectors.
.. _f06gb-py2-py-references:
**References**
Lawson, C L, Hanson, R J, Kincaid, D R and Krogh, F T, 1979, `Basic linear algebra supbrograms for Fortran usage`, ACM Trans. Math. Software (5), 308--325
"""
raise NotImplementedError
[docs]def zaxpy(alpha, x, y):
r"""
``zaxpy`` adds a scaled complex vector to an unscaled complex vector.
.. _f06gc-py2-py-doc:
For full information please refer to the NAG Library document for f06gc
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06gcf.html
.. _f06gc-py2-py-parameters:
**Parameters**
**alpha** : complex
The scalar :math:`\alpha`.
**x** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**y** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`y`.
**Returns**
**y** : complex, ndarray, shape :math:`\left(n\right)`
The updated vector :math:`y`.
.. _f06gc-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zaxpy`` performs the operation
.. math::
y←\alpha x+y
where :math:`x` and :math:`y` are :math:`n`-element complex vectors, and :math:`\alpha` is a complex scalar.
.. _f06gc-py2-py-references:
**References**
Lawson, C L, Hanson, R J, Kincaid, D R and Krogh, F T, 1979, `Basic linear algebra supbrograms for Fortran usage`, ACM Trans. Math. Software (5), 308--325
"""
raise NotImplementedError
[docs]def zscal(alpha, x):
r"""
``zscal`` scales a complex vector by a complex scalar.
.. _f06gd-py2-py-doc:
For full information please refer to the NAG Library document for f06gd
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06gdf.html
.. _f06gd-py2-py-parameters:
**Parameters**
**alpha** : complex
The scalar :math:`\alpha`.
**x** : complex, ndarray, shape :math:`\left(n\right)`, modified in place
`On entry`: the :math:`n`-element vector :math:`x`.
`On exit`: the vector :math:`\alpha x`.
.. _f06gd-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx} > 0`.
.. _f06gd-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zscal`` performs the operation
.. math::
x←\alpha x
where :math:`x` is an :math:`n`-element complex vector, and :math:`\alpha` is a complex scalar.
.. _f06gd-py2-py-references:
**References**
Lawson, C L, Hanson, R J, Kincaid, D R and Krogh, F T, 1979, `Basic linear algebra supbrograms for Fortran usage`, ACM Trans. Math. Software (5), 308--325
"""
raise NotImplementedError
[docs]def zcopy(x):
r"""
``zcopy`` copies a complex vector to a complex vector.
.. _f06gf-py2-py-doc:
For full information please refer to the NAG Library document for f06gf
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06gff.html
.. _f06gf-py2-py-parameters:
**Parameters**
**x** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**Returns**
**y** : complex, ndarray, shape :math:`\left(n\right)`
The elements :math:`y_i` of the vector :math:`y`.
.. _f06gf-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zcopy`` performs the operation
.. math::
y←x
where :math:`x` and :math:`y` are :math:`n`-element complex vectors.
.. _f06gf-py2-py-references:
**References**
Lawson, C L, Hanson, R J, Kincaid, D R and Krogh, F T, 1979, `Basic linear algebra supbrograms for Fortran usage`, ACM Trans. Math. Software (5), 308--325
"""
raise NotImplementedError
[docs]def zswap(x, y):
r"""
``zswap`` interchanges two :math:`n`-element complex vectors :math:`x` and :math:`y`.
.. _f06gg-py2-py-doc:
For full information please refer to the NAG Library document for f06gg
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06ggf.html
.. _f06gg-py2-py-parameters:
**Parameters**
**x** : complex, array-like, shape :math:`\left(n\right)`
The original vector :math:`x`.
**y** : complex, array-like, shape :math:`\left(n\right)`
The original vector :math:`y`.
**Returns**
**x** : complex, ndarray, shape :math:`\left(n\right)`
The original vector :math:`y`.
**y** : complex, ndarray, shape :math:`\left(n\right)`
The original vector :math:`x`.
.. _f06gg-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zswap`` interchanges the elements of complex vectors :math:`x` and :math:`y`.
.. _f06gg-py2-py-references:
**References**
Lawson, C L, Hanson, R J, Kincaid, D R and Krogh, F T, 1979, `Basic linear algebra supbrograms for Fortran usage`, ACM Trans. Math. Software (5), 308--325
"""
raise NotImplementedError
[docs]def zdotui(x, indx, y):
r"""
``zdotui`` computes the scalar product of an unconjugated sparse complex vector with a complex vector.
.. _f06gr-py2-py-doc:
For full information please refer to the NAG Library document for f06gr
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06grf.html
.. _f06gr-py2-py-parameters:
**Parameters**
**x** : complex, array-like, shape :math:`\left(\textit{nz}\right)`
The compressed vector :math:`x`. :math:`\mathrm{x}` contains :math:`x_i` for :math:`i \in J`.
**indx** : int, array-like, shape :math:`\left(\textit{nz}\right)`
:math:`\mathrm{indx}` must contain the set of indices :math:`J`.
**y** : complex, array-like, shape :math:`\left(\max\left(\mathrm{indx}\right)\right)`
The vector :math:`y`. Only elements corresponding to indices in :math:`\mathrm{indx}` are accessed.
**Returns**
**zdu** : complex
The value of the scalar product.
.. _f06gr-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zdotui`` returns the value of the scalar product
.. math::
x^\mathrm{T}y
where :math:`x` is a sparse complex vector stored in compressed form, and :math:`y` is a complex vector in full storage form.
.. _f06gr-py2-py-references:
**References**
Dodson, D S, Grimes, R G and Lewis, J G, 1991, `Sparse extensions to the Fortran basic linear algebra subprograms`, ACM Trans. Math. Software (17), 253--263
"""
raise NotImplementedError
[docs]def zdotci(x, indx, y):
r"""
``zdotci`` computes the scalar product of a conjugated sparse complex vector with a complex vector.
.. _f06gs-py2-py-doc:
For full information please refer to the NAG Library document for f06gs
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06gsf.html
.. _f06gs-py2-py-parameters:
**Parameters**
**x** : complex, array-like, shape :math:`\left(\textit{nz}\right)`
The compressed vector :math:`x`. :math:`\mathrm{x}` contains :math:`x_i` for :math:`i \in J`.
**indx** : int, array-like, shape :math:`\left(\textit{nz}\right)`
:math:`\mathrm{indx}` must contain the set of indices :math:`J`.
**y** : complex, array-like, shape :math:`\left(\max\left(\mathrm{indx}\right)\right)`
The vector :math:`y`. Only elements corresponding to indices in :math:`\mathrm{indx}` are accessed.
**Returns**
**zdc** : complex
The value of the scalar product.
.. _f06gs-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zdotci`` returns the value of the scalar product
.. math::
x^\mathrm{H}y
where :math:`x` is a sparse complex vector stored in compressed form, and :math:`y` is a complex vector in full storage form.
.. _f06gs-py2-py-references:
**References**
Dodson, D S, Grimes, R G and Lewis, J G, 1991, `Sparse extensions to the Fortran basic linear algebra subprograms`, ACM Trans. Math. Software (17), 253--263
"""
raise NotImplementedError
[docs]def zaxpyi(a, x, indx, y):
r"""
``zaxpyi`` adds a scaled sparse complex vector to an unscaled complex vector.
.. _f06gt-py2-py-doc:
For full information please refer to the NAG Library document for f06gt
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06gtf.html
.. _f06gt-py2-py-parameters:
**Parameters**
**a** : complex
The scalar :math:`\alpha`.
**x** : complex, array-like, shape :math:`\left(\textit{nz}\right)`
The compressed vector :math:`x`. :math:`\mathrm{x}` contains :math:`x_i` for :math:`i \in J`.
**indx** : int, array-like, shape :math:`\left(\textit{nz}\right)`
The indices of the elements in the compressed vector :math:`x`.
**y** : complex, array-like, shape :math:`\left(\max\left(\mathrm{indx}\right)\right)`
The vector :math:`y`. Only elements corresponding to indices in :math:`\mathrm{indx}` are accessed.
**Returns**
**y** : complex, ndarray, shape :math:`\left(\max\left(\mathrm{indx}\right)\right)`
The updated vector :math:`y`.
.. _f06gt-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{indx}`.
Constraint: the indices must be distinct.
.. _f06gt-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zaxpyi`` performs the operation
.. math::
y←\alpha x+y
where :math:`x` is a sparse complex vector stored in compressed form, and :math:`y` is a complex vector in full storage form.
.. _f06gt-py2-py-references:
**References**
Dodson, D S, Grimes, R G and Lewis, J G, 1991, `Sparse extensions to the Fortran basic linear algebra subprograms`, ACM Trans. Math. Software (17), 253--263
"""
raise NotImplementedError
[docs]def zgthr(y, indx):
r"""
``zgthr`` gathers specified (usually nonzero) elements of a complex vector :math:`y` in full storage form into a sparse complex vector :math:`x` in compressed form.
.. _f06gu-py2-py-doc:
For full information please refer to the NAG Library document for f06gu
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06guf.html
.. _f06gu-py2-py-parameters:
**Parameters**
**y** : complex, array-like, shape :math:`\left(\max\left(\mathrm{indx}\right)\right)`
The vector :math:`y`. Only elements corresponding to indices in :math:`\mathrm{indx}` are accessed.
**indx** : int, array-like, shape :math:`\left(\textit{nz}\right)`
:math:`\mathrm{indx}` must contain the set of indices :math:`J`.
**Returns**
**x** : complex, ndarray, shape :math:`\left(\textit{nz}\right)`
The compressed vector :math:`x`.
.. _f06gu-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
.. _f06gu-py2-py-references:
**References**
Dodson, D S, Grimes, R G and Lewis, J G, 1991, `Sparse extensions to the Fortran basic linear algebra subprograms`, ACM Trans. Math. Software (17), 253--263
"""
raise NotImplementedError
[docs]def zgthrz(y, indx):
r"""
``zgthrz`` gathers specified (usually nonzero) elements of a complex vector :math:`y` in full storage form into a sparse complex vector :math:`x` in compressed form.
The specified elements of :math:`y` are set to zero.
.. _f06gv-py2-py-doc:
For full information please refer to the NAG Library document for f06gv
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06gvf.html
.. _f06gv-py2-py-parameters:
**Parameters**
**y** : complex, array-like, shape :math:`\left(\max\left(\mathrm{indx}\right)\right)`
The vector :math:`y`. Only elements corresponding to indices in :math:`\mathrm{indx}` are accessed.
**indx** : int, array-like, shape :math:`\left(\textit{nz}\right)`
:math:`\mathrm{indx}` must contain the set of indices :math:`J`.
**Returns**
**y** : complex, ndarray, shape :math:`\left(\max\left(\mathrm{indx}\right)\right)`
The elements of :math:`y` corresponding to indices in :math:`\mathrm{indx}` are set to zero.
**x** : complex, ndarray, shape :math:`\left(\textit{nz}\right)`
The compressed vector :math:`x`.
.. _f06gv-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
.. _f06gv-py2-py-references:
**References**
Dodson, D S, Grimes, R G and Lewis, J G, 1991, `Sparse extensions to the Fortran basic linear algebra subprograms`, ACM Trans. Math. Software (17), 253--263
"""
raise NotImplementedError
[docs]def zsctr(x, indx, y):
r"""
``zsctr`` scatters the elements of a sparse complex vector :math:`x` stored in compressed form, into a complex vector :math:`y` in full storage form.
.. _f06gw-py2-py-doc:
For full information please refer to the NAG Library document for f06gw
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06gwf.html
.. _f06gw-py2-py-parameters:
**Parameters**
**x** : complex, array-like, shape :math:`\left(\textit{nz}\right)`
The compressed vector :math:`x`. :math:`\mathrm{x}` contains :math:`x_i` for :math:`i \in J`.
**indx** : int, array-like, shape :math:`\left(\textit{nz}\right)`
The indices of the elements in the compressed vector :math:`x`.
**y** : complex, array-like, shape :math:`\left(\max\left(\mathrm{indx}\right)\right)`
The vector :math:`y`.
**Returns**
**y** : complex, ndarray, shape :math:`\left(\max\left(\mathrm{indx}\right)\right)`
The vector :math:`y`, with the elements corresponding to indices in :math:`\mathrm{indx}` altered.
.. _f06gw-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{indx}`.
Constraint: the indices must be distinct.
.. _f06gw-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
.. _f06gw-py2-py-references:
**References**
Dodson, D S, Grimes, R G and Lewis, J G, 1991, `Sparse extensions to the Fortran basic linear algebra subprograms`, ACM Trans. Math. Software (17), 253--263
"""
raise NotImplementedError
[docs]def zload(n, con):
r"""
``zload`` broadcasts a complex scalar into a complex vector.
.. _f06hb-py2-py-doc:
For full information please refer to the NAG Library document for f06hb
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06hbf.html
.. _f06hb-py2-py-parameters:
**Parameters**
**n** : int
:math:`n`, the number of elements in :math:`x`.
**con** : complex
The scalar :math:`\alpha`.
**Returns**
**x** : complex, ndarray, shape :math:`\left(\mathrm{n}\right)`
The elements :math:`x_i` of the vector :math:`x`.
.. _f06hb-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx} > 0`.
.. _f06hb-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zload`` performs the operation
.. math::
x←\left(\alpha, \alpha, \ldots, \alpha \right)^\mathrm{T}\text{,}
where :math:`x` is an :math:`n`-element complex vector.
"""
raise NotImplementedError
[docs]def zdscl(d, x):
r"""
``zdscl`` multiplies a complex vector by a complex diagonal matrix.
.. _f06hc-py2-py-doc:
For full information please refer to the NAG Library document for f06hc
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06hcf.html
.. _f06hc-py2-py-parameters:
**Parameters**
**d** : complex, array-like, shape :math:`\left(n\right)`
The vector :math:`d`.
**x** : complex, ndarray, shape :math:`\left(n\right)`, modified in place
`On entry`: the array :math:`\mathrm{x}` must contain the :math:`n`-element vector :math:`x`.
`On exit`: the updated vector :math:`x`.
.. _f06hc-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zdscl`` performs the operation
.. math::
x←Dx
where :math:`x` is an :math:`n`-element complex vector and :math:`D = \mathrm{diag}\left(d\right)` is a complex diagonal matrix.
Equivalently, the function performs the element-by-element product of the vectors :math:`x` and :math:`d`
.. math::
x_i = d_ix_i\text{, }\quad i = 1,2,\ldots,n\text{.}
"""
raise NotImplementedError
[docs]def zaxpzy(alpha, x):
r"""
``zaxpzy`` multiplies a complex vector by a scalar, preserving the input vector.
.. _f06hd-py2-py-doc:
For full information please refer to the NAG Library document for f06hd
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06hdf.html
.. _f06hd-py2-py-parameters:
**Parameters**
**alpha** : complex
The scalar :math:`\alpha`.
**x** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**Returns**
**y** : complex, ndarray, shape :math:`\left(n\right)`
The elements :math:`y_i` of the vector :math:`y`.
.. _f06hd-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zaxpzy`` performs the operation
.. math::
y←\alpha x
where :math:`x` and :math:`y` are :math:`n`-element complex vectors, and :math:`\alpha` is a complex scalar.
"""
raise NotImplementedError
[docs]def znegv(x):
r"""
``znegv`` negates a complex vector.
.. _f06hg-py2-py-doc:
For full information please refer to the NAG Library document for f06hg
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06hgf.html
.. _f06hg-py2-py-parameters:
**Parameters**
**x** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**Returns**
**x** : complex, ndarray, shape :math:`\left(n\right)`
The vector :math:`{-x}`.
.. _f06hg-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx} > 0`.
.. _f06hg-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``znegv`` performs the operation
.. math::
x←-x
where :math:`x` is an :math:`n`-element complex vector.
"""
raise NotImplementedError
[docs]def zrot(cx, cy, c, s):
r"""
``zrot`` applies a plane rotation with a real cosine and complex sine to two complex vectors.
.. _f06hm-py2-py-doc:
For full information please refer to the NAG Library document for f06hm
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06hmf.html
.. _f06hm-py2-py-parameters:
**Parameters**
**cx** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**cy** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`y`.
**c** : float
The value :math:`c`, the cosine of the rotation.
**s** : complex
The value :math:`s`, the sine of the rotation.
**Returns**
**cx** : complex, ndarray, shape :math:`\left(n\right)`
The transformed vector :math:`x`.
**cy** : complex, ndarray, shape :math:`\left(n\right)`
The transformed vector :math:`y`.
.. _f06hm-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zrot`` applies a plane rotation, where the cosine is real and the sine is complex, to two :math:`n`-element complex vectors :math:`x` and :math:`y`:
.. math::
\begin{pmatrix}x^\mathrm{T}\\y^\mathrm{T}\end{pmatrix}←\begin{pmatrix}c&s\\-\bar{s}&c\end{pmatrix}\begin{pmatrix}x^\mathrm{T}\\y^\mathrm{T}\end{pmatrix}\text{.}
"""
raise NotImplementedError
[docs]def zcrot(x, y, c, s):
r"""
``zcrot`` applies a complex plane rotation to two complex vectors.
.. _f06hp-py2-py-doc:
For full information please refer to the NAG Library document for f06hp
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06hpf.html
.. _f06hp-py2-py-parameters:
**Parameters**
**x** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**y** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`y`.
**c** : complex
The value :math:`c`, the cosine of the rotation.
**s** : complex
The value :math:`s`, the sine of the rotation.
**Returns**
**x** : complex, ndarray, shape :math:`\left(n\right)`
The transformed vector :math:`x`.
**y** : complex, ndarray, shape :math:`\left(n\right)`
The transformed vector :math:`y`.
.. _f06hp-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zcrot`` applies a complex plane rotation to two :math:`n`-element complex vectors :math:`x` and :math:`y`:
.. math::
\begin{pmatrix}x^\mathrm{T}\\y^\mathrm{T}\end{pmatrix}←\begin{pmatrix}c&s\\-\bar{s}&\bar{c}\end{pmatrix}\begin{pmatrix}x^\mathrm{T}\\y^\mathrm{T}\end{pmatrix}\text{.}
"""
raise NotImplementedError
[docs]def zsrotg(pivot, direct, alpha, x):
r"""
``zsrotg`` generates a sequence of complex plane rotations.
.. _f06hq-py2-py-doc:
For full information please refer to the NAG Library document for f06hq
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06hqf.html
.. _f06hq-py2-py-parameters:
**Parameters**
**pivot** : str, length 1
Specifies the plane rotated by :math:`P_k`.
:math:`\mathrm{pivot} = \texttt{'V'}` (variable pivot)
:math:`P_k` rotates the :math:`\left(k, {k+1}\right)` plane.
:math:`\mathrm{pivot} = \texttt{'F'}` (fixed pivot)
:math:`P_k` rotates the :math:`\left(1, {k+1}\right)` plane if :math:`\mathrm{direct} = \texttt{'F'}`, or the :math:`\left(k, {n+1}\right)` plane if :math:`\mathrm{direct} = \texttt{'B'}`.
**direct** : str, length 1
Specifies the sequence direction.
:math:`\mathrm{direct} = \texttt{'F'}` (forward sequence)
:math:`P = P_n \cdots P_2P_1`.
:math:`\mathrm{direct} = \texttt{'B'}` (backward sequence)
:math:`P = P_1P_2 \cdots P_n`.
**alpha** : complex
The scalar :math:`\alpha`.
**x** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**Returns**
**alpha** : complex
The scalar :math:`\beta`.
**x** : complex, ndarray, shape :math:`\left(n\right)`
The referenced elements are overwritten by details of the plane rotations.
**c** : float, ndarray, shape :math:`\left(n\right)`
The values :math:`c_k`, the cosines of the rotations.
**s** : complex, ndarray, shape :math:`\left(n\right)`
The values :math:`s_k`, the sines of the rotations.
.. _f06hq-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{pivot}`.
Constraint: :math:`\mathrm{pivot} = \texttt{'V'}` or :math:`\texttt{'F'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{direct}`.
Constraint: :math:`\mathrm{direct} = \texttt{'F'}` or :math:`\texttt{'B'}`.
(`errno` :math:`6`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx} > 0`.
.. _f06hq-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zsrotg`` generates the parameters of a complex unitary matrix :math:`P`, of order :math:`n+1`, chosen so as to set to zero the elements of a supplied :math:`n`-element complex vector :math:`x`.
If :math:`\mathrm{pivot} = \texttt{'F'}` and :math:`\mathrm{direct} = \texttt{'F'}`, or if :math:`\mathrm{pivot} = \texttt{'V'}` and :math:`\mathrm{direct} = \texttt{'B'}`,
.. math::
P\begin{pmatrix}\alpha \\x\end{pmatrix} = \begin{pmatrix}\beta \\0\end{pmatrix}\text{;}
If :math:`\mathrm{pivot} = \texttt{'F'}` and :math:`\mathrm{direct} = \texttt{'B'}`, or if :math:`\mathrm{pivot} = \texttt{'V'}` and :math:`\mathrm{direct} = \texttt{'F'}`,
.. math::
P\begin{pmatrix}x\\\alpha \end{pmatrix} = \begin{pmatrix}0\\\beta \end{pmatrix}\text{.}
Here :math:`\alpha` and :math:`\beta` are complex scalars.
:math:`P` is represented as a sequence of :math:`n` plane rotations :math:`P_k`, as specified by :math:`\mathrm{pivot}` and :math:`\mathrm{direct}`; :math:`P_k` is chosen to annihilate :math:`x_k`, and its :math:`2\times 2` plane rotation part has the form
.. math::
\begin{pmatrix}c_k&\bar{s}_k\\-s_k&c_k\end{pmatrix}\text{,}
with :math:`c_k` real.
The tangent of the rotation, :math:`t_k`, is overwritten on :math:`x_k`.
"""
raise NotImplementedError
[docs]def zhousg(alpha, x, tol):
r"""
``zhousg`` generates a complex elementary reflection.
.. _f06hr-py2-py-doc:
For full information please refer to the NAG Library document for f06hr
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06hrf.html
.. _f06hr-py2-py-parameters:
**Parameters**
**alpha** : complex
The scalar :math:`\alpha`.
**x** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**tol** : float
The value :math:`\textit{tol}`.
**Returns**
**alpha** : complex
The scalar :math:`\beta`.
**x** : complex, ndarray, shape :math:`\left(n\right)`
The referenced elements are overwritten by details of the complex elementary reflection.
**theta** : complex
The scalar :math:`\theta`.
.. _f06hr-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx} > 0`.
.. _f06hr-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zhousg`` generates details of a complex elementary reflection (Householder matrix), :math:`P`, such that
.. math::
P\begin{pmatrix}\alpha \\x\end{pmatrix} = \begin{pmatrix}\beta \\0\end{pmatrix}
where :math:`P` is unitary, :math:`\alpha` is a complex scalar, :math:`\beta` is a real scalar, and :math:`x` is an :math:`n`-element complex vector.
:math:`P` is given in the form
.. math::
P = I-\gamma \begin{pmatrix}\zeta \\z\end{pmatrix}\begin{pmatrix}\zeta &z^\mathrm{H}\end{pmatrix}\text{,}
where :math:`z` is an :math:`n`-element complex vector, :math:`\gamma` is a complex scalar such that :math:`\mathrm{Re}\left(\gamma \right) = 1`, and :math:`\zeta` is a real scalar. :math:`\gamma` and :math:`\zeta` are returned in a single complex value :math:`\theta = \left(\zeta, {\mathrm{Im}\left(\gamma \right)}\right)`.
Thus :math:`\zeta = \mathrm{Re}\left(\theta \right)` and :math:`\gamma = \left(1, {\mathrm{Im}\left(\theta \right)}\right)`.
If :math:`x` is such that
.. math::
\mathrm{max}\left({\left\lvert \mathrm{Re}\left(x_i\right)\right\rvert }, {\left\lvert \mathrm{Im}\left(x_i\right)\right\rvert }\right)\leq \mathrm{max}\left(\textit{tol},\epsilon \mathrm{max}\left({\left\lvert \mathrm{Re}\left(\alpha \right)\right\rvert }, {\left\lvert \mathrm{Im}\left(\alpha \right)\right\rvert }\right)\right)\text{,}
where :math:`\epsilon` is the machine precision and :math:`\textit{tol}` is a user-supplied tolerance, then:
either :math:`\theta` is set to :math:`0`, in which case :math:`P` can be taken to be the unit matrix;
or :math:`\theta` is set so that :math:`\mathrm{Re}\left(\theta \right)\leq 0` and :math:`\theta \neq 0`, in which case
.. math::
P = \begin{pmatrix}\theta &0\\0&I\end{pmatrix}\text{.}
Otherwise :math:`1\leq \mathrm{Re}\left(\theta \right)\leq \sqrt{2}`.
"""
raise NotImplementedError
[docs]def zhous(delta, y, theta, z):
r"""
``zhous`` applies a complex elementary reflection to a complex vector.
.. _f06ht-py2-py-doc:
For full information please refer to the NAG Library document for f06ht
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06htf.html
.. _f06ht-py2-py-parameters:
**Parameters**
**delta** : complex
The original scalar :math:`\delta`.
**y** : complex, array-like, shape :math:`\left(n\right)`
The original vector :math:`y`.
**theta** : complex
The value :math:`\theta`, as returned by :meth:`zhousg`.
If :math:`\theta = 0`, :math:`P` is assumed to be the unit matrix and the transformation is skipped.
**z** : complex, array-like, shape :math:`\left(n\right)`
The vector :math:`z`, as returned by :meth:`zhousg`.
**Returns**
**delta** : complex
The transformed scalar :math:`\delta`.
**y** : complex, ndarray, shape :math:`\left(n\right)`
The transformed vector.
.. _f06ht-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`5`)
On entry, error in parameter :math:`\mathrm{theta}`.
Constraint: :math:`\mathrm{Re}\left(\mathrm{theta}\right)\leq 0.0`.
.. _f06ht-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zhous`` applies a complex elementary reflection (Householder matrix) :math:`P`, as generated by :meth:`zhousg`, to a given complex vector:
.. math::
\begin{pmatrix}\delta \\y\end{pmatrix}←P\begin{pmatrix}\delta \\y\end{pmatrix}
where :math:`y` is an :math:`n`-element complex vector and :math:`\delta` is a complex scalar.
To apply the conjugate transpose matrix :math:`P^\mathrm{H}`, call ``zhous`` with :math:`\bar{\theta }` in place of :math:`\theta`.
"""
raise NotImplementedError
[docs]def zdscal(alpha, x):
r"""
``zdscal`` scales a complex vector by a real scalar.
.. _f06jd-py2-py-doc:
For full information please refer to the NAG Library document for f06jd
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06jdf.html
.. _f06jd-py2-py-parameters:
**Parameters**
**alpha** : float
The scalar :math:`\alpha`.
**x** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**Returns**
**x** : complex, ndarray, shape :math:`\left(n\right)`
The vector :math:`\alpha x`.
.. _f06jd-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx} > 0`.
.. _f06jd-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zdscal`` performs the operation
.. math::
x←\alpha x
where :math:`x` is an :math:`n`-element complex vector, and :math:`\alpha` is a real scalar.
.. _f06jd-py2-py-references:
**References**
Lawson, C L, Hanson, R J, Kincaid, D R and Krogh, F T, 1979, `Basic linear algebra supbrograms for Fortran usage`, ACM Trans. Math. Software (5), 308--325
"""
raise NotImplementedError
[docs]def dznrm2(x):
r"""
``dznrm2`` computes the Euclidean norm of a complex vector.
.. _f06jj-py2-py-doc:
For full information please refer to the NAG Library document for f06jj
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06jjf.html
.. _f06jj-py2-py-parameters:
**Parameters**
**x** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**Returns**
**nrm** : float
The Euclidean norm of the complex vector, :math:`x`.
.. _f06jj-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx} > 0`.
.. _f06jj-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dznrm2`` returns the Euclidean norm
.. math::
\left\lVert x\right\rVert_2 = \sqrt{x^\mathrm{H}x}
of the :math:`n`-element complex vector :math:`x`.
.. _f06jj-py2-py-references:
**References**
Lawson, C L, Hanson, R J, Kincaid, D R and Krogh, F T, 1979, `Basic linear algebra supbrograms for Fortran usage`, ACM Trans. Math. Software (5), 308--325
"""
raise NotImplementedError
[docs]def dzasum(x):
r"""
``dzasum`` returns the sum of the absolute values of the real and imaginary parts of the elements in a complex vector.
.. _f06jk-py2-py-doc:
For full information please refer to the NAG Library document for f06jk
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06jkf.html
.. _f06jk-py2-py-parameters:
**Parameters**
**x** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**Returns**
**sumx** : float
The sum of the absolute values of the real and imaginary parts of the elements in the complex vector, :math:`x`.
.. _f06jk-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx} > 0`.
.. _f06jk-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dzasum`` returns the norm
.. math::
\left\lvert \mathrm{Re}\left(x_1\right)\right\rvert +\left\lvert \mathrm{Im}\left(x_1\right)\right\rvert + \cdots +\left\lvert \mathrm{Re}\left(x_n\right)\right\rvert +\left\lvert \mathrm{Im}\left(x_n\right)\right\rvert
of the :math:`n`-element complex vector :math:`x`.
.. _f06jk-py2-py-references:
**References**
Lawson, C L, Hanson, R J, Kincaid, D R and Krogh, F T, 1979, `Basic linear algebra supbrograms for Fortran usage`, ACM Trans. Math. Software (5), 308--325
"""
raise NotImplementedError
[docs]def idamax(x):
r"""
``idamax`` computes the index of the absolutely largest component of a real vector.
.. _f06jl-py2-py-doc:
For full information please refer to the NAG Library document for f06jl
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06jlf.html
.. _f06jl-py2-py-parameters:
**Parameters**
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**Returns**
**imax** : int
The index of the absolutely largest component of the real vector, :math:`x`.
.. _f06jl-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx} > 0`.
.. _f06jl-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``idamax`` returns the smallest index :math:`i` such that
.. math::
\left\lvert x_i\right\rvert = \mathrm{max}_j\left\lvert x_j\right\rvert
where :math:`x` is an :math:`n`-element real vector.
.. _f06jl-py2-py-references:
**References**
Lawson, C L, Hanson, R J, Kincaid, D R and Krogh, F T, 1979, `Basic linear algebra supbrograms for Fortran usage`, ACM Trans. Math. Software (5), 308--325
"""
raise NotImplementedError
[docs]def izamax(x):
r"""
``izamax`` computes the index of the absolutely largest component of a complex vector.
.. _f06jm-py2-py-doc:
For full information please refer to the NAG Library document for f06jm
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06jmf.html
.. _f06jm-py2-py-parameters:
**Parameters**
**x** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**Returns**
**imax** : int
The index of the absolutely largest component of a complex vector, :math:`x`.
.. _f06jm-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx} > 0`.
.. _f06jm-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``izamax`` returns the smallest index :math:`i` such that
.. math::
\left\lvert \mathrm{Re}\left(x_i\right)\right\rvert +\left\lvert \mathrm{Im}\left(x_i\right)\right\rvert = \mathrm{max}_j\left(\left\lvert \mathrm{Re}\left(x_j\right)\right\rvert +\left\lvert \mathrm{Im}\left(x_j\right)\right\rvert \right)
where :math:`x` is an :math:`n`-element complex vector.
.. _f06jm-py2-py-references:
**References**
Lawson, C L, Hanson, R J, Kincaid, D R and Krogh, F T, 1979, `Basic linear algebra supbrograms for Fortran usage`, ACM Trans. Math. Software (5), 308--325
"""
raise NotImplementedError
[docs]def zddscl(d, x):
r"""
``zddscl`` multiplies a complex vector by a real diagonal matrix.
.. _f06kc-py2-py-doc:
For full information please refer to the NAG Library document for f06kc
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06kcf.html
.. _f06kc-py2-py-parameters:
**Parameters**
**d** : float, array-like, shape :math:`\left(n\right)`
The vector :math:`d`.
**x** : complex, array-like, shape :math:`\left(n\right)`
The array :math:`\mathrm{x}` must contain the :math:`n`-element vector :math:`x`.
**Returns**
**x** : complex, ndarray, shape :math:`\left(n\right)`
The updated vector :math:`x`.
.. _f06kc-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zddscl`` performs the operation
.. math::
x←Dx
where :math:`x` is an :math:`n`-element complex vector and :math:`D = \mathrm{diag}\left(d\right)` is a real diagonal matrix.
Equivalently, the function performs the element-by-element product of the vectors :math:`x` and :math:`d`
.. math::
x_i = d_ix_i\text{, }\quad i = 1,2,\ldots,n\text{.}
"""
raise NotImplementedError
[docs]def zdaxpzy(alpha, x):
r"""
``zdaxpzy`` multiplies a complex vector by a real scalar, preserving the input vector.
.. _f06kd-py2-py-doc:
For full information please refer to the NAG Library document for f06kd
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06kdf.html
.. _f06kd-py2-py-parameters:
**Parameters**
**alpha** : float
The scalar :math:`\alpha`.
**x** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**Returns**
**y** : complex, ndarray, shape :math:`\left(n\right)`
The elements :math:`y_i` of the vector :math:`y`.
.. _f06kd-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zdaxpzy`` performs the operation
.. math::
y←\alpha x
where :math:`x` and :math:`y` are :math:`n`-element complex vectors, and :math:`\alpha` is a real scalar.
"""
raise NotImplementedError
[docs]def zdrscl(alpha, x):
r"""
``zdrscl`` multiplies a complex vector by the reciprocal of a real scalar.
.. _f06ke-py2-py-doc:
For full information please refer to the NAG Library document for f06ke
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06kef.html
.. _f06ke-py2-py-parameters:
**Parameters**
**alpha** : float
The scalar :math:`\alpha`.
**x** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**Returns**
**x** : complex, ndarray, shape :math:`\left(n\right)`
The updated vector :math:`x`.
.. _f06ke-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{alpha}`.
Constraint: :math:`\mathrm{alpha}\neq 0.0`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx} > 0`.
.. _f06ke-py2-py-notes:
**Notes**
``zdrscl`` performs the operation
.. math::
x←\frac{1}{\alpha }x
where :math:`x` is an :math:`n`-element complex vector and :math:`\alpha` is a real nonzero scalar.
"""
raise NotImplementedError
[docs]def zdcopy(x):
r"""
``zdcopy`` copies a real vector to a complex vector.
.. _f06kf-py2-py-doc:
For full information please refer to the NAG Library document for f06kf
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06kff.html
.. _f06kf-py2-py-parameters:
**Parameters**
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**Returns**
**y** : complex, ndarray, shape :math:`\left(n\right)`
The elements :math:`y_i` of the vector :math:`y`.
.. _f06kf-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zdcopy`` performs the operation
.. math::
y←x
where :math:`x` is an :math:`n`-element real vector, and :math:`y` is an :math:`n`-element complex vector.
"""
raise NotImplementedError
[docs]def dzssq(x, scal, sumsq):
r"""
``dzssq`` updates the Euclidean norm of complex vector in scaled form.
.. _f06kj-py2-py-doc:
For full information please refer to the NAG Library document for f06kj
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06kjf.html
.. _f06kj-py2-py-parameters:
**Parameters**
**x** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**scal** : float
The scaling factor :math:`\alpha`. On the first call to ``dzssq`` :math:`\mathrm{scal} = 0.0`.
**sumsq** : float
The scaled sum of squares :math:`\xi`. On the first call to ``dzssq`` :math:`\mathrm{sumsq} = 1.0`.
**Returns**
**scal** : float
The updated scaling factor :math:`\tilde{\alpha } = \mathrm{max}_i\left(\alpha, {\left\lvert \mathrm{Re}\left(x_i\right)\right\rvert }, {\left\lvert \mathrm{Im}\left(x_i\right)\right\rvert }\right)`.
**sumsq** : float
The updated scaled sum of squares :math:`\tilde{\xi }`, satisfying: :math:`1\leq \tilde{\xi }\leq \xi +2n`.
.. _f06kj-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx} > 0`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{scal}`.
Constraint: :math:`\mathrm{scal}\geq 0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\mathrm{sumsq}`.
Constraint: :math:`\mathrm{sumsq}\geq 1`.
.. _f06kj-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
Given an :math:`n`-element complex vector :math:`x`, and real scalars :math:`\alpha` and :math:`\xi`, ``dzssq`` returns updated values :math:`\tilde{\alpha }` and :math:`\tilde{\xi }` such that
.. math::
\tilde{\alpha }^2\tilde{\xi } = \left\lvert x_1\right\rvert^2+\left\lvert x_2\right\rvert^2 + \cdots +\left\lvert x_n\right\rvert^2+\alpha^2\xi \text{.}
``dzssq`` is designed for use in the safe computation of the Euclidean norm of a complex vector, without unnecessary overflow or destructive underflow.
An initial call to ``dzssq`` (with :math:`\xi = 1` and :math:`\alpha = 0`) may be followed by further calls to ``dzssq`` and finally a call to :meth:`dnorm` to complete the computation.
Multiple calls of ``dzssq`` may be needed if the elements of the vector cannot all be accessed in a single array :math:`\mathrm{x}`.
"""
raise NotImplementedError
[docs]def idrank(x, tol):
r"""
``idrank`` determines the index of the first negligible element of a real vector.
.. _f06kl-py2-py-doc:
For full information please refer to the NAG Library document for f06kl
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06klf.html
.. _f06kl-py2-py-parameters:
**Parameters**
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**tol** : float
The value :math:`\textit{tol}`.
**Returns**
**k** : int
The index of the first negligible element of the real vector.
.. _f06kl-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx} > 0`.
.. _f06kl-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``idrank`` finds the first element of the :math:`n`-element real vector :math:`x` for which
.. math::
\left\lvert x_{{k+1}}\right\rvert \leq \textit{tol}\mathrm{max}\left({\left\lvert x_1\right\rvert,\ldots }, {\left\lvert x_k\right\rvert }\right)
and returns the index :math:`k`.
If no such :math:`k` exists, then the value :math:`n` is returned.
If a negative value of :math:`\textit{tol}` is supplied, the value of machine precision is used in place of :math:`\textit{tol}`.
"""
raise NotImplementedError
[docs]def zdrot(x, y, c, s):
r"""
``zdrot`` applies a real plane rotation to two complex vectors.
.. _f06kp-py2-py-doc:
For full information please refer to the NAG Library document for f06kp
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06kpf.html
.. _f06kp-py2-py-parameters:
**Parameters**
**x** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**y** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`y`.
**c** : float
The value :math:`c`, the cosine of the rotation.
**s** : float
The value :math:`s`, the sine of the rotation.
**Returns**
**x** : complex, ndarray, shape :math:`\left(n\right)`
The transformed vector :math:`x`.
**y** : complex, ndarray, shape :math:`\left(n\right)`
The transformed vector :math:`y`.
.. _f06kp-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zdrot`` applies a real plane rotation to two :math:`n`-element complex vectors :math:`x` and :math:`y`:
.. math::
\begin{pmatrix}x^\mathrm{T}\\y^\mathrm{T}\end{pmatrix}←\begin{pmatrix}c&s\\-s&c\end{pmatrix}\begin{pmatrix}x^\mathrm{T}\\y^\mathrm{T}\end{pmatrix}\text{.}
The plane rotation has the form generated by :meth:`drotg` or :meth:`drotgc`.
"""
raise NotImplementedError
[docs]def dgemv(trans, m, alpha, a, x, beta, y=None):
r"""
``dgemv`` computes the matrix-vector product for a real general matrix or its transpose.
.. _f06pa-py2-py-doc:
For full information please refer to the NAG Library document for f06pa
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06paf.html
.. _f06pa-py2-py-parameters:
**Parameters**
**trans** : str, length 1
Specifies the operation to be performed.
:math:`\mathrm{trans} = \texttt{'N'}`
:math:`y←\alpha Ax+\beta y`.
:math:`\mathrm{trans} = \texttt{'T'}` or :math:`\texttt{'C'}`
:math:`y←\alpha A^\mathrm{T}x+\beta y`.
**m** : int
:math:`m`, the number of rows of the matrix :math:`A`.
**alpha** : float
The scalar :math:`\alpha`.
**a** : float, array-like, shape :math:`\left(\mathrm{m}, n\right)`
The :math:`m\times n` matrix :math:`A`.
**x** : float, array-like, shape :math:`\left(:\right)`
Note: the required length for this argument is determined as follows: if :math:`\mathrm{trans}=\texttt{'N'}`: :math:`n`; if :math:`\mathrm{trans}\text{ in } (\texttt{'T'}, \texttt{'C'})`: :math:`\mathrm{m}`; otherwise: :math:`0`.
The vector :math:`x`.
**beta** : float
The scalar :math:`\beta`.
**y** : None or float, array-like, shape :math:`\left(:\right)`, optional
Note: the required length for this argument is determined as follows: if :math:`\mathrm{trans}=\texttt{'N'}`: :math:`\mathrm{m}`; if :math:`\mathrm{trans}\text{ in } (\texttt{'T'}, \texttt{'C'})`: :math:`n`; otherwise: :math:`0`.
The vector :math:`y`, if :math:`\mathrm{beta} = 0.0`, :math:`\mathrm{y}` need not be set.
**Returns**
**y** : float, ndarray, shape :math:`\left(:\right)`
The updated vector :math:`y`.
.. _f06pa-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{trans} = \texttt{'N'}`, :math:`\texttt{'T'}` or :math:`\texttt{'C'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{m}`.
Constraint: :math:`\mathrm{m}\geq 0`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`8`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
(`errno` :math:`11`)
On entry, error in parameter :math:`\textit{incy}`.
Constraint: :math:`\textit{incy}\neq 0`.
.. _f06pa-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``dgemv`` performs one of the matrix-vector operations
.. math::
y←\alpha Ax+\beta y\text{, or }\quad y←\alpha A^\mathrm{T}x+\beta y\text{,}
where :math:`A` is an :math:`m\times n` real matrix, :math:`x` and :math:`y` are real vectors, and :math:`\alpha` and :math:`\beta` are real scalars.
If :math:`m = 0` or :math:`n = 0`, no operation is performed.
"""
raise NotImplementedError
[docs]def dgbmv(trans, m, kl, ku, alpha, a, x, beta, y=None):
r"""
``dgbmv`` computes the matrix-vector product for a real general band matrix or its transpose.
.. _f06pb-py2-py-doc:
For full information please refer to the NAG Library document for f06pb
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06pbf.html
.. _f06pb-py2-py-parameters:
**Parameters**
**trans** : str, length 1
Specifies the operation to be performed.
:math:`\mathrm{trans} = \texttt{'N'}`
:math:`y←\alpha Ax+\beta y`.
:math:`\mathrm{trans} = \texttt{'T'}` or :math:`\texttt{'C'}`
:math:`y←\alpha A^\mathrm{T}x+\beta y`.
**m** : int
:math:`m`, the number of rows of the matrix :math:`A`.
**kl** : int
:math:`k_l`, the number of subdiagonals within the band of :math:`A`.
**ku** : int
:math:`k_u`, the number of superdiagonals within the band of :math:`A`.
**alpha** : float
The scalar :math:`\alpha`.
**a** : float, array-like, shape :math:`\left(\mathrm{kl}+\mathrm{ku}+1, n\right)`
The :math:`m\times n` band matrix :math:`A`.
**x** : float, array-like, shape :math:`\left(:\right)`
Note: the required length for this argument is determined as follows: if :math:`\mathrm{trans}=\texttt{'N'}`: :math:`n`; if :math:`\mathrm{trans}\text{ in } (\texttt{'T'}, \texttt{'C'})`: :math:`\mathrm{m}`; otherwise: :math:`0`.
The vector :math:`x`.
**beta** : float
The scalar :math:`\beta`.
**y** : None or float, array-like, shape :math:`\left(:\right)`, optional
Note: the required length for this argument is determined as follows: if :math:`\mathrm{trans}=\texttt{'N'}`: :math:`\mathrm{m}`; if :math:`\mathrm{trans}\text{ in } (\texttt{'T'}, \texttt{'C'})`: :math:`n`; otherwise: :math:`0`.
The vector :math:`y`, if :math:`\mathrm{beta} = 0.0`, :math:`\mathrm{y}` need not be set.
**Returns**
**y** : float, ndarray, shape :math:`\left(:\right)`
The updated vector :math:`y`.
.. _f06pb-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{trans} = \texttt{'N'}`, :math:`\texttt{'T'}` or :math:`\texttt{'C'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{m}`.
Constraint: :math:`\mathrm{m}\geq 0`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{kl}`.
Constraint: :math:`\mathrm{kl}\geq 0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\mathrm{ku}`.
Constraint: :math:`\mathrm{ku}\geq 0`.
(`errno` :math:`10`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
(`errno` :math:`13`)
On entry, error in parameter :math:`\textit{incy}`.
Constraint: :math:`\textit{incy}\neq 0`.
.. _f06pb-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``dgbmv`` performs one of the matrix-vector operations
.. math::
y←\alpha Ax+\beta y\quad \text{ or }\quad y←\alpha A^\mathrm{T}x+\beta y\text{,}
where :math:`A` is an :math:`m\times n` real band matrix with :math:`k_l` subdiagonals and :math:`k_u` superdiagonals, :math:`x` and :math:`y` are real vectors, and :math:`\alpha` and :math:`\beta` are real scalars.
If :math:`m = 0` or :math:`n = 0`, no operation is performed.
"""
raise NotImplementedError
[docs]def dsymv(uplo, alpha, a, x, beta, y=None):
r"""
``dsymv`` the matrix-vector product for a real symmetric matrix.
.. _f06pc-py2-py-doc:
For full information please refer to the NAG Library document for f06pc
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06pcf.html
.. _f06pc-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**alpha** : float
The scalar :math:`\alpha`.
**a** : float, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` symmetric matrix :math:`A`.
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**beta** : float
The scalar :math:`\beta`.
**y** : None or float, array-like, shape :math:`\left(n\right)`, optional
The :math:`n`-element vector :math:`y`, if :math:`\mathrm{beta} = 0.0` :math:`\mathrm{y}` need not be set.
**Returns**
**y** : float, ndarray, shape :math:`\left(n\right)`
The updated vector :math:`y`.
.. _f06pc-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`7`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
(`errno` :math:`10`)
On entry, error in parameter :math:`\textit{incy}`.
Constraint: :math:`\textit{incy}\neq 0`.
.. _f06pc-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``dsymv`` performs the matrix-vector operation
.. math::
y←\alpha Ax+\beta y\text{,}
where :math:`A` is an :math:`n\times n` real symmetric matrix, :math:`x` and :math:`y` are :math:`n`-element real vectors, and :math:`\alpha` and :math:`\beta` are real scalars.
"""
raise NotImplementedError
[docs]def dsbmv(uplo, k, alpha, a, x, beta, y=None):
r"""
``dsbmv`` computes the matrix-vector product for a real symmetric band matrix.
.. _f06pd-py2-py-doc:
For full information please refer to the NAG Library document for f06pd
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06pdf.html
.. _f06pd-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**k** : int
:math:`k`, the number of subdiagonals or superdiagonals of the matrix :math:`A`.
**alpha** : float
The scalar :math:`\alpha`.
**a** : float, array-like, shape :math:`\left(\mathrm{k}+1, n\right)`
The :math:`n\times n` symmetric band matrix :math:`A`.
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**beta** : float
The scalar :math:`\beta`.
**y** : None or float, array-like, shape :math:`\left(n\right)`, optional
The :math:`n`-element vector :math:`y`, if :math:`\mathrm{beta} = 0.0` :math:`\mathrm{y}` need not be set.
**Returns**
**y** : float, ndarray, shape :math:`\left(n\right)`
The updated vector :math:`y`.
.. _f06pd-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{k}`.
Constraint: :math:`\mathrm{k}\geq 0`.
(`errno` :math:`8`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
(`errno` :math:`11`)
On entry, error in parameter :math:`\textit{incy}`.
Constraint: :math:`\textit{incy}\neq 0`.
.. _f06pd-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``dsbmv`` performs the matrix-vector operation
.. math::
y←\alpha Ax+\beta y\text{,}
where :math:`A` is an :math:`n\times n` real symmetric band matrix with :math:`k` subdiagonals and :math:`k` superdiagonals, :math:`x` and :math:`y` are :math:`n`-element real vectors, and :math:`\alpha` and :math:`\beta` are real scalars.
"""
raise NotImplementedError
[docs]def dspmv(uplo, alpha, ap, x, beta, y=None):
r"""
``dspmv`` computes the matrix-vector product for a real symmetric matrix stored in packed form.
.. _f06pe-py2-py-doc:
For full information please refer to the NAG Library document for f06pe
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06pef.html
.. _f06pe-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**alpha** : float
The scalar :math:`\alpha`.
**ap** : float, array-like, shape :math:`\left(n\times \left(n+1\right)/2\right)`
The :math:`n\times n` symmetric matrix :math:`A`, packed by columns.
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**beta** : float
The scalar :math:`\beta`.
**y** : None or float, array-like, shape :math:`\left(n\right)`, optional
The :math:`n`-element vector :math:`y`, if :math:`\mathrm{beta} = 0.0` :math:`\mathrm{y}` need not be set.
**Returns**
**y** : float, ndarray, shape :math:`\left(n\right)`
The updated vector :math:`y`.
.. _f06pe-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`6`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
(`errno` :math:`9`)
On entry, error in parameter :math:`\textit{incy}`.
Constraint: :math:`\textit{incy}\neq 0`.
.. _f06pe-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``dspmv`` performs the matrix-vector operation
.. math::
y←\alpha Ax+\beta y\text{,}
where :math:`A` is an :math:`n\times n` real symmetric matrix stored in packed form, :math:`x` and :math:`y` are :math:`n`-element real vectors, and :math:`\alpha` and :math:`\beta` are real scalars.
"""
raise NotImplementedError
[docs]def dtrmv(uplo, trans, diag, a, x):
r"""
``dtrmv`` computes the matrix-vector product for a real triangular matrix or its transpose.
.. _f06pf-py2-py-doc:
For full information please refer to the NAG Library document for f06pf
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06pff.html
.. _f06pf-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether :math:`A` is upper or lower triangular.
:math:`\mathrm{uplo} = \texttt{'U'}`
:math:`A` is upper triangular.
:math:`\mathrm{uplo} = \texttt{'L'}`
:math:`A` is lower triangular.
**trans** : str, length 1
Specifies the operation to be performed.
:math:`\mathrm{trans} = \texttt{'N'}`
:math:`x←Ax`.
:math:`\mathrm{trans} = \texttt{'T'}` or :math:`\texttt{'C'}`
:math:`x←A^\mathrm{T}x`.
**diag** : str, length 1
Specifies whether :math:`A` has nonunit or unit diagonal elements.
:math:`\mathrm{diag} = \texttt{'N'}`
The diagonal elements are stored explicitly.
:math:`\mathrm{diag} = \texttt{'U'}`
The diagonal elements are assumed to be :math:`1`, and are not referenced.
**a** : float, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` triangular matrix :math:`A`.
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**Returns**
**x** : float, ndarray, shape :math:`\left(n\right)`
The updated vector :math:`x`.
.. _f06pf-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{trans} = \texttt{'N'}`, :math:`\texttt{'T'}` or :math:`\texttt{'C'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{diag}`.
Constraint: :math:`\mathrm{diag} = \texttt{'N'}` or :math:`\texttt{'U'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`8`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
.. _f06pf-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``dtrmv`` performs one of the matrix-vector operations
.. math::
x←Ax\quad \text{ or }\quad x←A^\mathrm{T}x\text{,}
where :math:`A` is an :math:`n\times n` real triangular matrix, and :math:`x` is an :math:`n`-element real vector.
"""
raise NotImplementedError
[docs]def dtbmv(uplo, trans, diag, k, a, x):
r"""
``dtbmv`` computes the matrix-vector product for a real triangular band matrix or its transpose.
.. _f06pg-py2-py-doc:
For full information please refer to the NAG Library document for f06pg
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06pgf.html
.. _f06pg-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether :math:`A` is upper or lower triangular.
:math:`\mathrm{uplo} = \texttt{'U'}`
:math:`A` is upper triangular.
:math:`\mathrm{uplo} = \texttt{'L'}`
:math:`A` is lower triangular.
**trans** : str, length 1
Specifies the operation to be performed.
:math:`\mathrm{trans} = \texttt{'N'}`
:math:`x←Ax`.
:math:`\mathrm{trans} = \texttt{'T'}` or :math:`\texttt{'C'}`
:math:`x←A^\mathrm{T}x`.
**diag** : str, length 1
Specifies whether :math:`A` has nonunit or unit diagonal elements.
:math:`\mathrm{diag} = \texttt{'N'}`
The diagonal elements are stored explicitly.
:math:`\mathrm{diag} = \texttt{'U'}`
The diagonal elements are assumed to be :math:`1`, and are not referenced.
**k** : int
:math:`k`, the number of subdiagonals or superdiagonals of the matrix :math:`A`.
**a** : float, array-like, shape :math:`\left(\mathrm{k}+1, n\right)`
The :math:`n\times n` triangular band matrix :math:`A`
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**Returns**
**x** : float, ndarray, shape :math:`\left(n\right)`
The updated vector :math:`x`.
.. _f06pg-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{trans} = \texttt{'N'}`, :math:`\texttt{'T'}` or :math:`\texttt{'C'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{diag}`.
Constraint: :math:`\mathrm{diag} = \texttt{'N'}` or :math:`\texttt{'U'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\mathrm{k}`.
Constraint: :math:`\mathrm{k}\geq 0`.
(`errno` :math:`9`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
.. _f06pg-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``dtbmv`` performs one of the matrix-vector operations
.. math::
x←Ax\quad \text{ or }\quad x←A^\mathrm{T}x\text{,}
where :math:`A` is an :math:`n\times n` real triangular band matrix with :math:`k` subdiagonals or superdiagonals, and :math:`x` is an :math:`n`-element real vector.
"""
raise NotImplementedError
[docs]def dtpmv(uplo, trans, diag, ap, x):
r"""
``dtpmv`` computes the matrix-vector product for a real triangular matrix, or its transpose, stored in packed form.
.. _f06ph-py2-py-doc:
For full information please refer to the NAG Library document for f06ph
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06phf.html
.. _f06ph-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether :math:`A` is upper or lower triangular.
:math:`\mathrm{uplo} = \texttt{'U'}`
:math:`A` is upper triangular.
:math:`\mathrm{uplo} = \texttt{'L'}`
:math:`A` is lower triangular.
**trans** : str, length 1
Specifies the operation to be performed.
:math:`\mathrm{trans} = \texttt{'N'}`
:math:`x←Ax`.
:math:`\mathrm{trans} = \texttt{'T'}` or :math:`\texttt{'C'}`
:math:`x←A^\mathrm{T}x`.
**diag** : str, length 1
Specifies whether :math:`A` has nonunit or unit diagonal elements.
:math:`\mathrm{diag} = \texttt{'N'}`
The diagonal elements are stored explicitly.
:math:`\mathrm{diag} = \texttt{'U'}`
The diagonal elements are assumed to be :math:`1`, and are not referenced.
**ap** : float, array-like, shape :math:`\left(n\times \left(n+1\right)/2\right)`
The :math:`n\times n` triangular matrix :math:`A`, packed by columns.
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**Returns**
**x** : float, ndarray, shape :math:`\left(n\right)`
The updated vector :math:`x`.
.. _f06ph-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{trans} = \texttt{'N'}`, :math:`\texttt{'T'}` or :math:`\texttt{'C'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{diag}`.
Constraint: :math:`\mathrm{diag} = \texttt{'N'}` or :math:`\texttt{'U'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`7`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
.. _f06ph-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``dtpmv`` performs one of the matrix-vector operations
.. math::
x←Ax\quad \text{ or }\quad x←A^\mathrm{T}x\text{,}
where :math:`A` is an :math:`n\times n` real triangular matrix, stored in packed form, and :math:`x` is an :math:`n`-element real vector.
"""
raise NotImplementedError
[docs]def dtrsv(uplo, trans, diag, a, x):
r"""
``dtrsv`` solves a real triangular system of equations with a single right-hand side.
.. _f06pj-py2-py-doc:
For full information please refer to the NAG Library document for f06pj
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06pjf.html
.. _f06pj-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether :math:`A` is upper or lower triangular.
:math:`\mathrm{uplo} = \texttt{'U'}`
:math:`A` is upper triangular.
:math:`\mathrm{uplo} = \texttt{'L'}`
:math:`A` is lower triangular.
**trans** : str, length 1
Specifies the operation to be performed.
:math:`\mathrm{trans} = \texttt{'N'}`
:math:`x←A^{-1}x`.
:math:`\mathrm{trans} = \texttt{'T'}` or :math:`\texttt{'C'}`
:math:`x←A^{-\mathrm{T}}x`.
**diag** : str, length 1
Specifies whether :math:`A` has nonunit or unit diagonal elements.
:math:`\mathrm{diag} = \texttt{'N'}`
The diagonal elements are stored explicitly.
:math:`\mathrm{diag} = \texttt{'U'}`
The diagonal elements are assumed to be :math:`1`, and are not referenced.
**a** : float, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` triangular matrix :math:`A`.
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**Returns**
**x** : float, ndarray, shape :math:`\left(n\right)`
The updated vector :math:`x`.
.. _f06pj-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{trans} = \texttt{'N'}`, :math:`\texttt{'T'}` or :math:`\texttt{'C'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{diag}`.
Constraint: :math:`\mathrm{diag} = \texttt{'N'}` or :math:`\texttt{'U'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`8`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
.. _f06pj-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``dtrsv`` performs one of the matrix-vector operations
.. math::
x←A^{-1}x\quad \text{ or }\quad x←A^{-\mathrm{T}}x\text{,}
where :math:`A` is an :math:`n\times n` real triangular matrix, and :math:`x` is an :math:`n`-element real vector. :math:`A^{-\mathrm{T}}` denotes :math:`\left(A^\mathrm{T}\right)^{-1}` or equivalently :math:`\left(A^{-1}\right)^\mathrm{T}`.
No test for singularity or near-singularity of :math:`A` is included in this function.
Such tests must be performed before calling this function.
"""
raise NotImplementedError
[docs]def dtbsv(uplo, trans, diag, k, a, x):
r"""
``dtbsv`` solves a real triangular banded system of equations with a single right-hand side.
.. _f06pk-py2-py-doc:
For full information please refer to the NAG Library document for f06pk
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06pkf.html
.. _f06pk-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether :math:`A` is upper or lower triangular.
:math:`\mathrm{uplo} = \texttt{'U'}`
:math:`A` is upper triangular.
:math:`\mathrm{uplo} = \texttt{'L'}`
:math:`A` is lower triangular.
**trans** : str, length 1
Specifies the operation to be performed.
:math:`\mathrm{trans} = \texttt{'N'}`
:math:`x←A^{-1}x`.
:math:`\mathrm{trans} = \texttt{'T'}` or :math:`\texttt{'C'}`
:math:`x←A^{-\mathrm{T}}x`.
**diag** : str, length 1
Specifies whether :math:`A` has nonunit or unit diagonal elements.
:math:`\mathrm{diag} = \texttt{'N'}`
The diagonal elements are stored explicitly.
:math:`\mathrm{diag} = \texttt{'U'}`
The diagonal elements are assumed to be :math:`1`, and are not referenced.
**k** : int
:math:`k`, the number of subdiagonals or superdiagonals of the matrix :math:`A`.
**a** : float, array-like, shape :math:`\left(\mathrm{k}+1, n\right)`
The :math:`n\times n` triangular band matrix :math:`A`
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**Returns**
**x** : float, ndarray, shape :math:`\left(n\right)`
The updated vector :math:`x`.
.. _f06pk-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{trans} = \texttt{'N'}`, :math:`\texttt{'T'}` or :math:`\texttt{'C'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{diag}`.
Constraint: :math:`\mathrm{diag} = \texttt{'N'}` or :math:`\texttt{'U'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\mathrm{k}`.
Constraint: :math:`\mathrm{k}\geq 0`.
(`errno` :math:`9`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
.. _f06pk-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``dtbsv`` performs one of the matrix-vector operations
.. math::
x←A^{-1}x\quad \text{ or }\quad x←A^{-\mathrm{T}}x\text{,}
where :math:`A` is an :math:`n\times n` real triangular band matrix with :math:`k` subdiagonals or superdiagonals, and :math:`x` is an :math:`n`-element real vector. :math:`A^{-\mathrm{T}}` denotes :math:`\left(A^\mathrm{T}\right)^{-1}` or equivalently :math:`\left(A^{-1}\right)^\mathrm{T}`.
No test for singularity or near-singularity of :math:`A` is included in this function.
Such tests must be performed before calling this function.
"""
raise NotImplementedError
[docs]def dtpsv(uplo, trans, diag, ap, x):
r"""
``dtpsv`` solves a real triangular system of equations, stored in packed form, with a single right-hand side.
.. _f06pl-py2-py-doc:
For full information please refer to the NAG Library document for f06pl
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06plf.html
.. _f06pl-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether :math:`A` is upper or lower triangular.
:math:`\mathrm{uplo} = \texttt{'U'}`
:math:`A` is upper triangular.
:math:`\mathrm{uplo} = \texttt{'L'}`
:math:`A` is lower triangular.
**trans** : str, length 1
Specifies the operation to be performed.
:math:`\mathrm{trans} = \texttt{'N'}`
:math:`x←A^{-1}x`.
:math:`\mathrm{trans} = \texttt{'T'}` or :math:`\texttt{'C'}`
:math:`x←A^{-\mathrm{T}}x`.
**diag** : str, length 1
Specifies whether :math:`A` has nonunit or unit diagonal elements.
:math:`\mathrm{diag} = \texttt{'N'}`
The diagonal elements are stored explicitly.
:math:`\mathrm{diag} = \texttt{'U'}`
The diagonal elements are assumed to be :math:`1`, and are not referenced.
**ap** : float, array-like, shape :math:`\left(n\times \left(n+1\right)/2\right)`
The :math:`n\times n` triangular matrix :math:`A`, packed by columns.
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**Returns**
**x** : float, ndarray, shape :math:`\left(n\right)`
The updated vector :math:`x`.
.. _f06pl-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{trans} = \texttt{'N'}`, :math:`\texttt{'T'}` or :math:`\texttt{'C'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{diag}`.
Constraint: :math:`\mathrm{diag} = \texttt{'N'}` or :math:`\texttt{'U'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`7`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
.. _f06pl-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``dtpsv`` performs one of the matrix-vector operations
.. math::
x←A^{-1}x\quad \text{ or }\quad x←A^{-\mathrm{T}}x\text{,}
where :math:`A` is an :math:`n\times n` real triangular matrix, stored in packed form, and :math:`x` is an :math:`n`-element real vector. :math:`A^{-\mathrm{T}}` denotes :math:`A^{-\mathrm{T}}` or equivalently :math:`A^{-\mathrm{T}}`.
No test for singularity or near-singularity of :math:`A` is included in this function.
Such tests must be performed before calling this function.
"""
raise NotImplementedError
[docs]def dger(alpha, x, y, a):
r"""
``dger`` computes the rank-1 update of a real general matrix.
.. _f06pm-py2-py-doc:
For full information please refer to the NAG Library document for f06pm
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06pmf.html
.. _f06pm-py2-py-parameters:
**Parameters**
**alpha** : float
The scalar :math:`\alpha`.
**x** : float, array-like, shape :math:`\left(m\right)`
The :math:`m` element vector :math:`x`.
**y** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`y`.
**a** : float, array-like, shape :math:`\left(m, n\right)`
The :math:`m\times n` matrix :math:`A`.
**Returns**
**a** : float, ndarray, shape :math:`\left(m, n\right)`
The updated matrix :math:`A`.
.. _f06pm-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\textit{m}`.
Constraint: :math:`m\geq 0`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
(`errno` :math:`7`)
On entry, error in parameter :math:`\textit{incy}`.
Constraint: :math:`\textit{incy}\neq 0`.
.. _f06pm-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``dger`` performs the rank-1 update operation
.. math::
A←\alpha xy^\mathrm{T}+A\text{,}
where :math:`A` is an :math:`m\times n` real matrix, :math:`x` is an :math:`m` element real vector, :math:`y` is an :math:`n`-element real vector, and :math:`\alpha` is a real scalar.
"""
raise NotImplementedError
[docs]def dsyr(uplo, alpha, x, a):
r"""
``dsyr`` computes the rank-1 update of a real symmetric matrix.
.. _f06pp-py2-py-doc:
For full information please refer to the NAG Library document for f06pp
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06ppf.html
.. _f06pp-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**alpha** : float
The scalar :math:`\alpha`.
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**a** : float, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` symmetric matrix :math:`A`.
**Returns**
**a** : float, ndarray, shape :math:`\left(n, n\right)`
The updated matrix :math:`A`.
.. _f06pp-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
.. _f06pp-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``dsyr`` performs the symmetric rank-1 update operation
.. math::
A←\alpha xx^\mathrm{T}+A\text{,}
where :math:`A` is an :math:`n\times n` real symmetric matrix, :math:`x` is an :math:`n`-element real vector, and :math:`\alpha` is a real scalar.
"""
raise NotImplementedError
[docs]def dspr(uplo, alpha, x, ap):
r"""
``dspr`` computes the rank-1 update of a real symmetric matrix stored in packed form.
.. _f06pq-py2-py-doc:
For full information please refer to the NAG Library document for f06pq
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06pqf.html
.. _f06pq-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**alpha** : float
The scalar :math:`\alpha`.
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**ap** : float, array-like, shape :math:`\left(n\times \left(n+1\right)/2\right)`
The :math:`n\times n` symmetric matrix :math:`A`, packed by columns.
**Returns**
**ap** : float, ndarray, shape :math:`\left(n\times \left(n+1\right)/2\right)`
The updated matrix :math:`A`.
.. _f06pq-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
.. _f06pq-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``dspr`` performs the symmetric rank-1 update operation
.. math::
A←\alpha xx^\mathrm{T}+A\text{,}
where :math:`A` is an :math:`n\times n` real symmetric matrix, stored in packed form, :math:`x` is an :math:`n`-element real vector, and :math:`\alpha` is a real scalar.
"""
raise NotImplementedError
[docs]def dsyr2(uplo, alpha, x, y, a):
r"""
``dsyr2`` computes the rank-2 update of a real symmetric matrix.
.. _f06pr-py2-py-doc:
For full information please refer to the NAG Library document for f06pr
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06prf.html
.. _f06pr-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**alpha** : float
The scalar :math:`\alpha`.
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**y** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`y`.
**a** : float, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` symmetric matrix :math:`A`.
**Returns**
**a** : float, ndarray, shape :math:`\left(n, n\right)`
The updated matrix :math:`A`.
.. _f06pr-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
(`errno` :math:`7`)
On entry, error in parameter :math:`\textit{incy}`.
Constraint: :math:`\textit{incy}\neq 0`.
.. _f06pr-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``dsyr2`` performs the symmetric rank-2 update operation
.. math::
A←\alpha xy^\mathrm{T}+\alpha yx^\mathrm{T}+A\text{,}
where :math:`A` is an :math:`n\times n` real symmetric matrix, :math:`x` and :math:`y` are :math:`n`-element real vectors, and :math:`\alpha` is a real scalar.
"""
raise NotImplementedError
[docs]def dspr2(uplo, alpha, x, y, ap):
r"""
``dspr2`` computes the rank-2 update of a real symmetric matrix stored in packed form.
.. _f06ps-py2-py-doc:
For full information please refer to the NAG Library document for f06ps
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06psf.html
.. _f06ps-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**alpha** : float
The scalar :math:`\alpha`.
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**y** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`y`.
**ap** : float, array-like, shape :math:`\left(n\times \left(n+1\right)/2\right)`
The :math:`n\times n` symmetric matrix :math:`A`, packed by columns.
**Returns**
**ap** : float, ndarray, shape :math:`\left(n\times \left(n+1\right)/2\right)`
The updated matrix :math:`A`.
.. _f06ps-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
(`errno` :math:`7`)
On entry, error in parameter :math:`\textit{incy}`.
Constraint: :math:`\textit{incy}\neq 0`.
.. _f06ps-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``dspr2`` performs the symmetric rank-2 update operation
.. math::
A←\alpha xy^\mathrm{T}+\alpha yx^\mathrm{T}+A\text{,}
where :math:`A` is an :math:`n\times n` real symmetric matrix, stored in packed form, :math:`x` and :math:`y` are :math:`n`-element real vectors, and :math:`\alpha` is a real scalar.
"""
raise NotImplementedError
[docs]def dmcopy(matrix, m, a):
r"""
``dmcopy`` performs the matrix-copy operation
.. math::
B←A
where :math:`A` and :math:`B` are :math:`m\times n` real general or trapezoidal matrices.
.. _f06qf-py2-py-doc:
For full information please refer to the NAG Library document for f06qf
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06qff.html
.. _f06qf-py2-py-parameters:
**Parameters**
**matrix** : str, length 1
The matrix type.
:math:`\mathrm{matrix} = \texttt{'G'}`
General matrix.
:math:`\mathrm{matrix} = \texttt{'U'}`
Upper trapezoidal matrix (upper triangular if :math:`m = n`).
:math:`\mathrm{matrix} = \texttt{'L'}`
Lower trapezoidal matrix (lower triangular if :math:`m = n`).
**m** : int
:math:`m`, the number of rows of the matrices :math:`A` and :math:`B`.
**a** : float, array-like, shape :math:`\left(\mathrm{m}, n\right)`
The :math:`m\times n` general or trapezoidal matrix :math:`A`.
**Returns**
**b** : float, ndarray, shape :math:`\left(\mathrm{m}, n\right)`
The :math:`m\times n` general or trapezoidal matrix :math:`B`.
.. _f06qf-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{matrix}`.
Constraint: :math:`\mathrm{matrix} = \texttt{'G'}`, :math:`\texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{m}`.
Constraint: :math:`\mathrm{m}\geq 0`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06qf-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def dmload(matrix, m, n, con, diag):
r"""
``dmload`` forms the real :math:`m\times n` rectangular or trapezoidal matrix :math:`A` given by
.. math::
a_{{ij}} = \left\{\begin{array}{ll}\mathrm{diag}&\text{if }i = j\\\mathrm{const}&\text{if }i\neq j\end{array}\right. \text{.}
.. _f06qh-py2-py-doc:
For full information please refer to the NAG Library document for f06qh
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06qhf.html
.. _f06qh-py2-py-parameters:
**Parameters**
**matrix** : str, length 1
The matrix type.
:math:`\mathrm{matrix} = \texttt{'G'}`
General matrix.
:math:`\mathrm{matrix} = \texttt{'U'}`
Upper trapezoidal matrix (upper triangular if :math:`m = n`).
:math:`\mathrm{matrix} = \texttt{'L'}`
Lower trapezoidal matrix (lower triangular if :math:`m = n`).
**m** : int
:math:`m`, the number of rows of the matrix :math:`A`.
**n** : int
:math:`n`, the number of columns of the matrix :math:`A`.
**con** : float
The value to be assigned to the off-diagonal elements of :math:`A`.
**diag** : float
The value to be assigned to the diagonal elements of :math:`A`.
**Returns**
**a** : float, ndarray, shape :math:`\left(\mathrm{m}, \mathrm{n}\right)`
The :math:`m\times n` general or trapezoidal matrix :math:`A`.
.. _f06qh-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{matrix}`.
Constraint: :math:`\mathrm{matrix} = \texttt{'G'}`, :math:`\texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{m}`.
Constraint: :math:`\mathrm{m}\geq 0`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{n}`.
Constraint: :math:`\mathrm{n}\geq 0`.
.. _f06qh-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def dgeap(side, trans, perm, k, b):
r"""
``dgeap`` permutes the rows or columns of a real rectangular matrix using an `int` array of permutations.
.. _f06qj-py2-py-doc:
For full information please refer to the NAG Library document for f06qj
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06qjf.html
.. _f06qj-py2-py-parameters:
**Parameters**
**side** : str, length 1
Specifies the operation to be performed.
:math:`\mathrm{side} = \texttt{'L'}` and :math:`\mathrm{trans} = \texttt{'T'}`
:math:`B←P^\mathrm{T}B`.
:math:`\mathrm{side} = \texttt{'L'}` and :math:`\mathrm{trans} = \texttt{'N'}`
:math:`B←PB`.
:math:`\mathrm{side} = \texttt{'R'}` and :math:`\mathrm{trans} = \texttt{'T'}`
:math:`B←BP^\mathrm{T}`.
:math:`\mathrm{side} = \texttt{'R'}` and :math:`\mathrm{trans} = \texttt{'N'}`
:math:`B←BP`.
**trans** : str, length 1
Specifies the operation to be performed.
:math:`\mathrm{side} = \texttt{'L'}` and :math:`\mathrm{trans} = \texttt{'T'}`
:math:`B←P^\mathrm{T}B`.
:math:`\mathrm{side} = \texttt{'L'}` and :math:`\mathrm{trans} = \texttt{'N'}`
:math:`B←PB`.
:math:`\mathrm{side} = \texttt{'R'}` and :math:`\mathrm{trans} = \texttt{'T'}`
:math:`B←BP^\mathrm{T}`.
:math:`\mathrm{side} = \texttt{'R'}` and :math:`\mathrm{trans} = \texttt{'N'}`
:math:`B←BP`.
**perm** : int, array-like, shape :math:`\left(n\right)`
The :math:`n` indices :math:`p_i` which define the interchanges in the representation of :math:`P`. It is usual to have :math:`p_i\geq i`, but this is not necessary.
**k** : int
:math:`k`, the number of columns of :math:`B` if :math:`\mathrm{side} = \texttt{'L'}`, or the number of rows of :math:`B` if :math:`\mathrm{side} = \texttt{'R'}`.
**b** : float, array-like, shape :math:`\left(:, :\right)`
Note: the required extent for this argument in dimension 1 is determined as follows: if :math:`\mathrm{side}=\texttt{'L'}`: :math:`\max\left(n,\textit{m}\right)`; if :math:`\mathrm{side}=\texttt{'R'}`: :math:`\mathrm{k}`; otherwise: :math:`0`.
Note: the required extent for this argument in dimension 2 is determined as follows: if :math:`\mathrm{side}=\texttt{'L'}`: :math:`\mathrm{k}`; if :math:`\mathrm{side}=\texttt{'R'}`: :math:`\max\left(n,\max\left(\mathrm{perm}\right)\right)`; otherwise: :math:`0`.
The original matrix :math:`B`; :math:`B` is :math:`\textit{m}\times k` if :math:`\mathrm{side} = \texttt{'L'}`, or :math:`k\times \textit{m}` if :math:`\mathrm{side} = \texttt{'R'}`.
**Returns**
**b** : float, ndarray, shape :math:`\left(:, :\right)`
The permuted matrix :math:`B`.
.. _f06qj-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{side} = \texttt{'L'}` or :math:`\texttt{'R'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{trans} = \texttt{'N'}` or :math:`\texttt{'T'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{perm}`.
Constraint: :math:`1\leq \mathrm{perm}[i-1]\leq \textit{m}`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\mathrm{k}`.
Constraint: :math:`\mathrm{k}\geq 0`.
.. _f06qj-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dgeap`` performs one of the permutation operations
.. math::
\begin{array}{ll}B←P^\mathrm{T}B\text{,}&B←PB\text{,}\\B←BP^\mathrm{T}\quad \text{ or}&B←BP\text{,}\end{array}
where :math:`B` is a real matrix, and :math:`P` is a permutation matrix.
:math:`P` is represented in the form
.. math::
P = P_{{1,p_1}}P_{{2,p_2}} \cdots P_{{n,p_n}}\text{,}
where :math:`P_{{i,j}}` is the permutation matrix that interchanges items :math:`i` and :math:`j`; that is, :math:`P_{{i,j}}` is the unit matrix with rows and columns :math:`i` and :math:`j` interchanged.
If :math:`i = j`, :math:`P_{{i,j}} = I`.
Let :math:`\textit{m}` denote the number of rows of :math:`B` if :math:`\mathrm{side} = \texttt{'L'}`, or the number of columns of :math:`B` if :math:`\mathrm{side} = \texttt{'R'}`: the function does not require :math:`\textit{m}` to be passed as an argument, but assumes that :math:`m\geq p_{\textit{i}}`, for :math:`\textit{i} = 1,2,\ldots,n`.
This function requires the indices :math:`p_i` to be supplied in an `int` array; :meth:`dgeapr` performs the same operation with the indices supplied in a `float` array.
"""
raise NotImplementedError
[docs]def dgeapr(side, trans, perm, k, b):
r"""
``dgeapr`` permutes the rows or columns of a real rectangular matrix using a `float` array of permutations.
.. _f06qk-py2-py-doc:
For full information please refer to the NAG Library document for f06qk
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06qkf.html
.. _f06qk-py2-py-parameters:
**Parameters**
**side** : str, length 1
Specifies the operation to be performed.
:math:`\mathrm{side} = \texttt{'L'}` and :math:`\mathrm{trans} = \texttt{'T'}`
:math:`B←P^\mathrm{T}B`.
:math:`\mathrm{side} = \texttt{'L'}` and :math:`\mathrm{trans} = \texttt{'N'}`
:math:`B←PB`.
:math:`\mathrm{side} = \texttt{'R'}` and :math:`\mathrm{trans} = \texttt{'T'}`
:math:`B←BP^\mathrm{T}`.
:math:`\mathrm{side} = \texttt{'R'}` and :math:`\mathrm{trans} = \texttt{'N'}`
:math:`B←BP`.
**trans** : str, length 1
Specifies the operation to be performed.
:math:`\mathrm{side} = \texttt{'L'}` and :math:`\mathrm{trans} = \texttt{'T'}`
:math:`B←P^\mathrm{T}B`.
:math:`\mathrm{side} = \texttt{'L'}` and :math:`\mathrm{trans} = \texttt{'N'}`
:math:`B←PB`.
:math:`\mathrm{side} = \texttt{'R'}` and :math:`\mathrm{trans} = \texttt{'T'}`
:math:`B←BP^\mathrm{T}`.
:math:`\mathrm{side} = \texttt{'R'}` and :math:`\mathrm{trans} = \texttt{'N'}`
:math:`B←BP`.
**perm** : float, array-like, shape :math:`\left(n\right)`
The :math:`n` indices :math:`p_i` which define the interchanges in the representation of :math:`P`. It is usual to have :math:`p_i\geq i`, but this is not necessary.
**k** : int
:math:`k`, the number of columns of :math:`B` if :math:`\mathrm{side} = \texttt{'L'}`, or the number of rows of :math:`B` if :math:`\mathrm{side} = \texttt{'R'}`.
**b** : float, array-like, shape :math:`\left(:, :\right)`
Note: the required extent for this argument in dimension 1 is determined as follows: if :math:`\mathrm{side}=\texttt{'L'}`: :math:`\max\left(n,\textit{m}\right)`; if :math:`\mathrm{side}=\texttt{'R'}`: :math:`\mathrm{k}`; otherwise: :math:`0`.
Note: the required extent for this argument in dimension 2 is determined as follows: if :math:`\mathrm{side}=\texttt{'L'}`: :math:`\mathrm{k}`; if :math:`\mathrm{side}=\texttt{'R'}`: :math:`\max\left(n,\mathrm{int}\left(\max\left(\mathrm{perm}\right)\right)\right)`; otherwise: :math:`0`.
The original matrix :math:`B`; :math:`B` is :math:`\textit{m}\times k` if :math:`\mathrm{side} = \texttt{'L'}`, or :math:`k\times \textit{m}` if :math:`\mathrm{side} = \texttt{'R'}`.
**Returns**
**b** : float, ndarray, shape :math:`\left(:, :\right)`
The permuted matrix :math:`B`.
.. _f06qk-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{side} = \texttt{'L'}` or :math:`\texttt{'R'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{trans} = \texttt{'N'}` or :math:`\texttt{'T'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{perm}`.
Constraint: :math:`1\leq \mathrm{perm}[i-1]\leq \textit{m}`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\mathrm{k}`.
Constraint: :math:`\mathrm{k}\geq 0`.
.. _f06qk-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dgeapr`` performs one of the permutation operations
.. math::
\begin{array}{ll}B←P^\mathrm{T}B\text{,}&B←PB\text{,}\\B←BP^\mathrm{T}\quad \text{ or}&B←BP\text{,}\end{array}
where :math:`B` is a real matrix, and :math:`P` is a permutation matrix.
:math:`P` is represented in the form
.. math::
P = P_{{1,p_1}}P_{{2,p_2}} \cdots P_{{n,p_n}}\text{,}
where :math:`P_{{i,j}}` is the permutation matrix that interchanges items :math:`i` and :math:`j`; that is, :math:`P_{{i,j}}` is the unit matrix with rows and columns :math:`i` and :math:`j` interchanged.
If :math:`i = j`, :math:`P_{{i,j}} = I`.
Let :math:`\textit{m}` denote the number of rows of :math:`B` if :math:`\mathrm{side} = \texttt{'L'}`, or the number of columns of :math:`B` if :math:`\mathrm{side} = \texttt{'R'}`: the function does not require :math:`\textit{m}` to be passed as an argument, but assumes that :math:`m\geq p_{\textit{i}}`, for :math:`\textit{i} = 1,2,\ldots,n`.
This function requires the indices :math:`p_i` to be supplied in a `float` array (the function takes the integer part of the array elements); :meth:`dgeap` performs the same operation with the indices supplied in an `int` array.
"""
raise NotImplementedError
[docs]def dsysrc(uplo, pivot, direct, k1, k2, c, s, a):
r"""
``dsysrc`` performs an orthogonal similarity transformation (as a sequence of plane rotations) of a real symmetric matrix.
.. _f06qm-py2-py-doc:
For full information please refer to the NAG Library document for f06qm
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06qmf.html
.. _f06qm-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**pivot** : str, length 1
Specifies the plane rotated by :math:`P_k`.
:math:`\mathrm{pivot} = \texttt{'V'}` (variable pivot)
:math:`P_k` rotates the :math:`\left(k, {k+1}\right)` plane.
:math:`\mathrm{pivot} = \texttt{'T'}` (top pivot)
:math:`P_k` rotates the :math:`\left(k_1, {k+1}\right)` plane.
:math:`\mathrm{pivot} = \texttt{'B'}` (bottom pivot)
:math:`P_k` rotates the :math:`\left(k, k_2\right)` plane.
**direct** : str, length 1
Specifies the sequence direction.
:math:`\mathrm{direct} = \texttt{'F'}` (forward sequence)
:math:`P = P_{{k_2-1}} \cdots P_{{k_1+1}}P_{k_1}`.
:math:`\mathrm{direct} = \texttt{'B'}` (backward sequence)
:math:`P = P_{k_1}P_{{k_1+1}} \cdots P_{{k_2-1}}`.
**k1** : int
The value :math:`k_1`.
**k2** : int
The value :math:`k_2`.
**c** : float, array-like, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{c}[\textit{k}]` must hold :math:`c_{\textit{k}}`, the cosine of the rotation :math:`P_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**s** : float, array-like, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{s}[\textit{k}]` must hold :math:`s_{\textit{k}}`, the sine of the rotation :math:`P_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**a** : float, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` symmetric matrix :math:`A`.
**Returns**
**a** : float, ndarray, shape :math:`\left(n, n\right)`
The transformed matrix :math:`A`.
.. _f06qm-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{pivot}`.
Constraint: :math:`\mathrm{pivot} = \texttt{'V'}`, :math:`\texttt{'T'}` or :math:`\texttt{'B'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{direct}`.
Constraint: :math:`\mathrm{direct} = \texttt{'F'}` or :math:`\texttt{'B'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06qm-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dsysrc`` performs the transformation
.. math::
A←PAP^\mathrm{T}
where :math:`A` is an :math:`n\times n` real symmetric matrix, and :math:`P` is a real orthogonal matrix defined as a sequence of plane rotations, :math:`P_k`, applied in planes :math:`k_1` to :math:`k_2`.
The :math:`2\times 2` plane rotation part of :math:`P_k` is assumed to have the form
.. math::
\begin{pmatrix}c_k&s_k\\-s_k&c_k\end{pmatrix}\text{.}
"""
raise NotImplementedError
[docs]def dutr1(alpha, x, y, a):
r"""
``dutr1`` performs a :math:`QR` factorization (as a sequence of plane rotations) of a real upper triangular matrix that has been modified by a rank-1 update.
.. _f06qp-py2-py-doc:
For full information please refer to the NAG Library document for f06qp
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06qpf.html
.. _f06qp-py2-py-parameters:
**Parameters**
**alpha** : float
The scalar :math:`\alpha`.
**x** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**y** : float, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`y`.
**a** : float, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` upper triangular matrix :math:`U`.
**Returns**
**x** : float, ndarray, shape :math:`\left(n\right)`
The referenced elements are overwritten by details of the sequence of plane rotations.
**a** : float, ndarray, shape :math:`\left(n, n\right)`
The upper triangular matrix :math:`R`.
**c** : float, ndarray, shape :math:`\left(n-1\right)`
The cosines of the rotations :math:`Q_{\textit{k}}`, for :math:`\textit{k} = 1,2,\ldots,n-1`.
**s** : float, ndarray, shape :math:`\left(n-1\right)`
The sines of the rotations :math:`Q_{\textit{k}}`, for :math:`\textit{k} = 1,2,\ldots,n-1`.
.. _f06qp-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx} > 0`.
(`errno` :math:`6`)
On entry, error in parameter :math:`\textit{incy}`.
Constraint: :math:`\textit{incy} > 0`.
.. _f06qp-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dutr1`` performs a :math:`QR` factorization of an upper triangular matrix which has been modified by a rank-1 update:
.. math::
\alpha xy^\mathrm{T}+U = QR
where :math:`U` and :math:`R` are :math:`n\times n` real upper triangular matrices, :math:`x` and :math:`y` are :math:`n`-element real vectors, :math:`\alpha` is a real scalar, and :math:`Q` is an :math:`n\times n` real orthogonal matrix.
:math:`Q` is formed as the product of two sequences of plane rotations:
.. math::
Q^\mathrm{T} = Q_{{n-1}} \cdots Q_2Q_1P_1P_2 \cdots P_{{n-1}}
where
:math:`P_k` is a rotation in the :math:`\left(k, n\right)` plane, chosen to annihilate :math:`x_k`: thus :math:`Px = \beta e_n`, where :math:`P = P_1P_2 \cdots P_{{n-1}}` and :math:`e_n` is the last column of the unit matrix;
:math:`Q_k` is a rotation in the :math:`\left(k, n\right)` plane, chosen to annihilate the :math:`\left(n, k\right)` element of :math:`\left(\alpha \beta e_ny^\mathrm{T}+PU\right)`, and thus restore it to upper triangular form.
The :math:`2\times 2` plane rotation part of :math:`P_k` or :math:`Q_k` has the form
.. math::
\begin{pmatrix}c_k&s_k\\-s_k&c_k\end{pmatrix}\text{.}
The tangents of the rotations :math:`P_k` are returned in the array :math:`\mathrm{x}`; the cosines and sines of these rotations can be recovered by calling :meth:`dcsg`.
The cosines and sines of the rotations :math:`Q_k` are returned directly in the arrays :math:`\mathrm{c}` and :math:`\mathrm{s}`.
"""
raise NotImplementedError
[docs]def dutupd(alpha, x, a):
r"""
``dutupd`` performs a :math:`QR` factorization (as a sequence of plane rotations) of a real upper triangular matrix that has been augmented by a full row.
.. _f06qq-py2-py-doc:
For full information please refer to the NAG Library document for f06qq
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06qqf.html
.. _f06qq-py2-py-parameters:
**Parameters**
**alpha** : float
The scalar :math:`\alpha`.
**x** : float, array-like, shape :math:`\left(n\right)`
The vector :math:`x`.
**a** : float, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` upper triangular matrix :math:`U`.
**Returns**
**x** : float, ndarray, shape :math:`\left(n\right)`
The referenced elements are overwritten by the tangents of the rotations :math:`Q_{\textit{k}}`, for :math:`\textit{k} = 1,2,\ldots,n`.
**a** : float, ndarray, shape :math:`\left(n, n\right)`
The upper triangular matrix :math:`R`.
**c** : float, ndarray, shape :math:`\left(n\right)`
The values :math:`c_{\textit{k}}`, the cosines of the rotations :math:`Q_{\textit{k}}`, for :math:`\textit{k} = 1,2,\ldots,n`.
**s** : float, ndarray, shape :math:`\left(n\right)`
The values :math:`s_{\textit{k}}`, the sines of the rotations :math:`Q_{\textit{k}}`, for :math:`\textit{k} = 1,2,\ldots,n`.
.. _f06qq-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx} > 0`.
.. _f06qq-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dutupd`` performs the factorization
.. math::
\begin{pmatrix}U\\\alpha x^\mathrm{T}\end{pmatrix} = Q\begin{pmatrix}R\\0\end{pmatrix}
where :math:`U` and :math:`R` are :math:`n\times n` real upper triangular matrices, :math:`x` is an :math:`n`-element real vector, :math:`\alpha` is a real scalar, and :math:`Q` is a real orthogonal matrix.
:math:`Q` is formed as a sequence of plane rotations
.. math::
Q^\mathrm{T} = Q_n \cdots Q_2Q_1
where :math:`Q_k` is a rotation in the :math:`\left(k, {n+1}\right)` plane, chosen to annihilate :math:`x_k`.
The :math:`2\times 2` plane rotation part of :math:`Q_k` has the form
.. math::
\begin{pmatrix}c_k&s_k\\-s_k&c_k\end{pmatrix}\text{.}
"""
raise NotImplementedError
[docs]def duhqr(side, k1, k2, s, a):
r"""
``duhqr`` performs a :math:`QR` or :math:`RQ` factorization (as a sequence of plane rotations) of a real upper Hessenberg matrix.
.. _f06qr-py2-py-doc:
For full information please refer to the NAG Library document for f06qr
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06qrf.html
.. _f06qr-py2-py-parameters:
**Parameters**
**side** : str, length 1
Specifies whether :math:`H` is operated on from the left or the right.
:math:`\mathrm{side} = \texttt{'L'}`
:math:`H` is pre-multiplied from the left.
:math:`\mathrm{side} = \texttt{'R'}`
:math:`H` is post-multiplied from the right.
**k1** : int
The value :math:`k_1`.
**k2** : int
The value :math:`k_2`.
**s** : float, array-like, shape :math:`\left(\mathrm{k2}-1\right)`
The nonzero subdiagonal elements of :math:`H`: :math:`\mathrm{s}[\textit{k}]` must hold :math:`h_{{\textit{k}+1,\textit{k}}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**a** : float, array-like, shape :math:`\left(n, n\right)`
The upper triangular part of the :math:`n\times n` upper Hessenberg matrix :math:`H`.
**Returns**
**c** : float, ndarray, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{c}[\textit{k}]` holds :math:`c_{\textit{k}}`, the cosine of the rotation :math:`P_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**s** : float, ndarray, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{s}[\textit{k}]` holds :math:`s_{\textit{k}}`, the sine of the rotation :math:`P_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**a** : float, ndarray, shape :math:`\left(n, n\right)`
The upper triangular matrix :math:`R`.
.. _f06qr-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{side}`.
Constraint: :math:`\mathrm{side} = \texttt{'L'}` or :math:`\texttt{'R'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06qr-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``duhqr`` transforms an :math:`n\times n` real upper Hessenberg matrix :math:`H` to upper triangular form :math:`R` by applying an orthogonal matrix :math:`P` from the left or the right. :math:`H` is assumed to have nonzero subdiagonal elements :math:`h_{{\textit{k}+1,\textit{k}}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`, only. :math:`P` is formed as a sequence of plane rotations in planes :math:`k_1` to :math:`k_2`.
If :math:`\mathrm{side} = \texttt{'L'}`, the rotations are applied from the left:
.. math::
PH = R\text{,}
where :math:`P = P_{{k_2-1}} \cdots P_{{k_1+1}}P_{k_1}`.
If :math:`\mathrm{side} = \texttt{'R'}`, the rotations are applied from the right:
.. math::
HP^\mathrm{T} = R\text{,}
where :math:`P = P_{k_1}P_{{k_1+1}} \cdots P_{{k_2-1}}`.
In either case, :math:`P_k` is a rotation in the :math:`\left(k, {k+1}\right)` plane, chosen to annihilate :math:`h_{{k+1,k}}`.
The :math:`2\times 2` plane rotation part of :math:`P_k` has the form
.. math::
\begin{pmatrix}c_k&s_k\\-s_k&c_k\end{pmatrix}\text{.}
"""
raise NotImplementedError
[docs]def dusqr(side, k1, k2, s, a):
r"""
``dusqr`` performs a :math:`QR` or :math:`RQ` factorization (as a sequence of plane rotations) of a real upper spiked matrix.
.. _f06qs-py2-py-doc:
For full information please refer to the NAG Library document for f06qs
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06qsf.html
.. _f06qs-py2-py-parameters:
**Parameters**
**side** : str, length 1
Specifies whether :math:`H` is operated on from the left or the right.
:math:`\mathrm{side} = \texttt{'L'}`
:math:`H` is pre-multiplied from the left.
:math:`\mathrm{side} = \texttt{'R'}`
:math:`H` is post-multiplied from the right.
**k1** : int
The value :math:`k_1`.
**k2** : int
The value :math:`k_2`.
**s** : float, array-like, shape :math:`\left(\mathrm{k2}-1\right)`
The nonzero elements of the spike of :math:`H`: :math:`\mathrm{s}[\textit{k}]` must hold :math:`h_{{\textit{k}_2,\textit{k}}}` if :math:`\mathrm{side} = \texttt{'L'}`, and :math:`h_{{\textit{k}+1,\textit{k}_1}}` if :math:`\mathrm{side} = \texttt{'R'}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**a** : float, array-like, shape :math:`\left(n, n\right)`
The upper triangular part of the :math:`n\times n` upper spiked matrix :math:`H`.
**Returns**
**c** : float, ndarray, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{c}[\textit{k}]` holds :math:`c_{\textit{k}}`, the cosine of the rotation :math:`P_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**s** : float, ndarray, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{s}[\textit{k}]` holds :math:`s_{\textit{k}}`, the sine of the rotation :math:`P_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**a** : float, ndarray, shape :math:`\left(n, n\right)`
The upper triangular matrix :math:`R`.
.. _f06qs-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{side}`.
Constraint: :math:`\mathrm{side} = \texttt{'L'}` or :math:`\texttt{'R'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06qs-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dusqr`` transforms an :math:`n\times n` real upper spiked matrix :math:`H` to upper triangular form :math:`R` by applying a real orthogonal matrix :math:`P` from the left or the right. :math:`P` is formed as a sequence of plane rotations in planes :math:`k_1` to :math:`k_2`.
If :math:`\mathrm{side} = \texttt{'L'}`, :math:`H` is assumed to have a row spike, with nonzero elements :math:`h_{{\textit{k}_2,\textit{k}}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
The rotations are applied from the left:
.. math::
PH = R\text{,}
where :math:`P = P_{{k_2-1}} \cdots P_{{k_1+1}}P_{k_1}` and :math:`P_k` is a rotation in the :math:`\left(k, k_2\right)` plane.
If :math:`\mathrm{side} = \texttt{'R'}`, :math:`H` is assumed to have a column spike, with nonzero elements :math:`h_{{\textit{k}+1,\textit{k}_1}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
The rotations are applied from the right:
.. math::
HP^\mathrm{T} = R\text{,}
where :math:`P = P_{k_1}P_{{k_1+1}} \cdots P_{{k_2-1}}` and :math:`P_k` is a rotation in the :math:`\left(k_1, {k+1}\right)` plane.
The :math:`2\times 2` plane rotation part of :math:`P_k` has the form
.. math::
\begin{pmatrix}c_k&s_k\\-s_k&c_k\end{pmatrix}\text{.}
"""
raise NotImplementedError
[docs]def dutsqr(side, k1, k2, c, s, a):
r"""
``dutsqr`` performs a :math:`QR` or :math:`RQ` factorization of the product of a real upper triangular matrix and a real matrix of plane rotations.
.. _f06qt-py2-py-doc:
For full information please refer to the NAG Library document for f06qt
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06qtf.html
.. _f06qt-py2-py-parameters:
**Parameters**
**side** : str, length 1
Specifies whether :math:`P` is applied from the left or the right in the transformation.
:math:`\mathrm{side} = \texttt{'L'}`
:math:`P` is applied from the left.
:math:`\mathrm{side} = \texttt{'R'}`
:math:`P` is applied from the right.
**k1** : int
The value :math:`k_1`.
**k2** : int
The value :math:`k_2`.
**c** : float, array-like, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{c}[\textit{k}]` must hold the cosine of the rotation :math:`P_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**s** : float, array-like, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{s}[\textit{k}]` must hold the sine of the rotation :math:`P_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**a** : float, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` upper triangular matrix :math:`U`.
**Returns**
**c** : float, ndarray, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{c}[\textit{k}]` holds the cosine of the rotation :math:`Q_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**s** : float, ndarray, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{s}[\textit{k}]` holds the sine of the rotation :math:`Q_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**a** : float, ndarray, shape :math:`\left(n, n\right)`
The upper triangular matrix :math:`R`.
.. _f06qt-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{side}`.
Constraint: :math:`\mathrm{side} = \texttt{'L'}` or :math:`\texttt{'R'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06qt-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dutsqr`` performs one of the transformations
.. math::
R←PUQ^\mathrm{T}\quad \text{ or }\quad R←QUP^\mathrm{T}\text{,}
where :math:`U` is a given :math:`n\times n` real upper triangular matrix, :math:`P` is a given real orthogonal matrix, and :math:`Q` is a real orthogonal matrix chosen to make :math:`R` upper triangular.
Both :math:`P` and :math:`Q` are represented as sequences of plane rotations in planes :math:`k_1` to :math:`k_2`.
If :math:`\mathrm{side} = \texttt{'L'}`,
.. math::
R←PUQ^\mathrm{T}\text{,}
where :math:`P = P_{{k_2-1}}\ldots P_{{k_1+1}}P_{k_1}` and :math:`Q = Q_{{k_2-1}}\ldots Q_{{k_1+1}}Q_{k_1}`.
If :math:`\mathrm{side} = \texttt{'R'}`,
.. math::
R←QUP^\mathrm{T}\text{,}
where :math:`P = P_{k_1}P_{{k_1+1}}\ldots P_{{k_2-1}}` and :math:`Q = Q_{k_1}Q_{{k_1+1}}\ldots Q_{{k_2-1}}`.
In either case :math:`P_k` and :math:`Q_k` are rotations in the :math:`\left(k, {k+1}\right)` plane.
The :math:`2\times 2` rotation part of :math:`P_k` or :math:`Q_k` has the form
.. math::
\begin{pmatrix}c_k&s_k\\-s_k&c_k\end{pmatrix}\text{.}
"""
raise NotImplementedError
[docs]def dutsrh(side, k1, k2, c, s, a):
r"""
``dutsrh`` transforms a real upper triangular matrix to an upper Hessenberg matrix by applying a given sequence of plane rotations.
.. _f06qv-py2-py-doc:
For full information please refer to the NAG Library document for f06qv
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06qvf.html
.. _f06qv-py2-py-parameters:
**Parameters**
**side** : str, length 1
Specifies whether :math:`U` is operated on from the left or the right.
:math:`\mathrm{side} = \texttt{'L'}`
:math:`U` is pre-multiplied from the left.
:math:`\mathrm{side} = \texttt{'R'}`
:math:`U` is post-multiplied from the right.
**k1** : int
The value :math:`k_1`.
**k2** : int
The value :math:`k_2`.
**c** : float, array-like, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{c}[\textit{k}]` must hold :math:`c_{\textit{k}}`, the cosine of the rotation :math:`P_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**s** : float, array-like, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{s}[\textit{k}]` must hold :math:`s_{\textit{k}}`, the sine of the rotation :math:`P_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**a** : float, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` upper triangular matrix :math:`U`.
**Returns**
**s** : float, ndarray, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{s}[\textit{k}]` holds :math:`h_{{\textit{k}+1,\textit{k}}}`, the subdiagonal element of :math:`H`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**a** : float, ndarray, shape :math:`\left(n, n\right)`
The upper triangular part of the upper Hessenberg matrix :math:`H`.
.. _f06qv-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{side}`.
Constraint: :math:`\mathrm{side} = \texttt{'L'}` or :math:`\texttt{'R'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06qv-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dutsrh`` transforms an :math:`n\times n` real upper triangular matrix :math:`U` to an upper Hessenberg matrix :math:`H`, by applying a given sequence of plane rotations from either the left or the right, in planes :math:`k_1` to :math:`k_2`; :math:`H` has nonzero subdiagonal elements :math:`h_{{\textit{k}+1,\textit{k}}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1` only.
If :math:`\mathrm{side} = \texttt{'L'}`, the rotations are applied from the left:
.. math::
H = PU\text{,}
where :math:`P = P_{k_1}P_{{k_1+1}} \cdots P_{{k_2-1}}`.
If :math:`\mathrm{side} = \texttt{'R'}`, the rotations are applied from the right:
.. math::
H = UP^\mathrm{T}\text{,}
where :math:`P = P_{{k_2-1}} \cdots P_{{k_1+1}}P_{k_1}`.
In either case, :math:`P_k` is a rotation in the :math:`\left(k, {k+1}\right)` plane.
The :math:`2\times 2` plane rotation part of :math:`P_k` has the form
.. math::
\begin{pmatrix}c_k&s_k\\-s_k&c_k\end{pmatrix}\text{.}
"""
raise NotImplementedError
[docs]def dutsrs(side, k1, k2, c, s, a):
r"""
``dutsrs`` transforms a real upper triangular matrix to an upper spiked matrix by applying a given sequence of plane rotations.
.. _f06qw-py2-py-doc:
For full information please refer to the NAG Library document for f06qw
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06qwf.html
.. _f06qw-py2-py-parameters:
**Parameters**
**side** : str, length 1
Specifies whether :math:`U` is operated on from the left or the right.
:math:`\mathrm{side} = \texttt{'L'}`
:math:`U` is pre-multiplied from the left.
:math:`\mathrm{side} = \texttt{'R'}`
:math:`U` is post-multiplied from the right.
**k1** : int
The value :math:`k_1`.
**k2** : int
The value :math:`k_2`.
**c** : float, array-like, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{c}[\textit{k}]` must hold :math:`c_{\textit{k}}`, the cosine of the rotation :math:`P_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**s** : float, array-like, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{s}[\textit{k}]` must hold :math:`s_{\textit{k}}`, the sine of the rotation :math:`P_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**a** : float, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` upper triangular matrix :math:`U`.
**Returns**
**s** : float, ndarray, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{s}[\textit{k}]` holds a nonzero element of the spike of :math:`H`: :math:`h_{{\textit{k}_2,\textit{k}}}` if :math:`\mathrm{side} = \texttt{'L'}`, or :math:`h_{{\textit{k}+1,\textit{k}_1}}` if :math:`\mathrm{side} = \texttt{'R'}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**a** : float, ndarray, shape :math:`\left(n, n\right)`
The upper triangular part of the upper spiked matrix :math:`H`.
.. _f06qw-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{side}`.
Constraint: :math:`\mathrm{side} = \texttt{'L'}` or :math:`\texttt{'R'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06qw-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dutsrs`` transforms an :math:`n\times n` real upper triangular matrix :math:`U` to an upper spiked matrix :math:`H`, by applying a given sequence of plane rotations from either the left or the right, in planes :math:`k_1` to :math:`k_2`.
If :math:`\mathrm{side} = \texttt{'L'}`, :math:`H` has a row spike, with nonzero elements :math:`h_{{k_2,k}}`, for :math:`k = k_1,k_1+1,\ldots,k_2-1`.
The rotations are applied from the left:
.. math::
H = PU\text{,}
where :math:`P = P_{k_1}P_{{k_1+1}} \cdots P_{{k_2-1}}` and :math:`P_k` is a rotation in the :math:`\left(k, k_2\right)` plane.
If :math:`\mathrm{side} = \texttt{'R'}`, :math:`H` has a column spike, with nonzero elements :math:`h_{{k+1,k_1}}`, for :math:`k = k_1,k_1+1,\ldots,k_2-1`.
The rotations are applied from the right:
.. math::
HP^\mathrm{T} = R\text{,}
where :math:`P = P_{{k_2-1}} \cdots P_{{k_1+1}}P_{k_1}` and :math:`P_k` is a rotation in the :math:`\left(k_1, {k+1}\right)` plane.
The :math:`2\times 2` plane rotation part of :math:`P_k` has the form
.. math::
\begin{pmatrix}c_k&s_k\\-s_k&c_k\end{pmatrix}\text{.}
"""
raise NotImplementedError
[docs]def dgesrc(side, pivot, direct, m, k1, k2, c, s, a):
r"""
``dgesrc`` applies a sequence of plane rotations to a real rectangular matrix.
.. _f06qx-py2-py-doc:
For full information please refer to the NAG Library document for f06qx
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06qxf.html
.. _f06qx-py2-py-parameters:
**Parameters**
**side** : str, length 1
Specifies whether :math:`A` is operated on from the left or the right.
:math:`\mathrm{side} = \texttt{'L'}`
:math:`A` is pre-multiplied from the left.
:math:`\mathrm{side} = \texttt{'R'}`
:math:`A` is post-multiplied from the right.
**pivot** : str, length 1
Specifies the plane rotated by :math:`P_k`.
:math:`\mathrm{pivot} = \texttt{'V'}` (variable pivot)
:math:`P_k` rotates the :math:`\left(k, {k+1}\right)` plane.
:math:`\mathrm{pivot} = \texttt{'T'}` (top pivot)
:math:`P_k` rotates the :math:`\left(k_1, {k+1}\right)` plane.
:math:`\mathrm{pivot} = \texttt{'B'}` (bottom pivot)
:math:`P_k` rotates the :math:`\left(k, k_2\right)` plane.
**direct** : str, length 1
Specifies the sequence direction.
:math:`\mathrm{direct} = \texttt{'F'}` (forward sequence)
:math:`P = P_{{k_2-1}} \cdots P_{{k_1+1}}P_{k_1}`.
:math:`\mathrm{direct} = \texttt{'B'}` (backward sequence)
:math:`P = P_{k_1}P_{{k_1+1}} \cdots P_{{k_2-1}}`.
**m** : int
:math:`m`, the number of rows of the matrix :math:`A`.
If :math:`\mathrm{m} < 1`, an immediate return is effected.
**k1** : int
The value :math:`k_1`.
**k2** : int
The value :math:`k_2`.
**c** : float, array-like, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{c}[\textit{k}]` must hold :math:`c_{\textit{k}}`, the cosine of the rotation :math:`P_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**s** : float, array-like, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{s}[\textit{k}]` must hold :math:`s_{\textit{k}}`, the sine of the rotation :math:`P_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**a** : float, array-like, shape :math:`\left(\mathrm{m}, n\right)`
The :math:`m\times n` matrix :math:`A`.
**Returns**
**a** : float, ndarray, shape :math:`\left(\mathrm{m}, n\right)`
The transformed matrix :math:`A`.
.. _f06qx-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{side}`.
Constraint: :math:`\mathrm{side} = \texttt{'L'}` or :math:`\texttt{'R'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{pivot}`.
Constraint: :math:`\mathrm{pivot} = \texttt{'V'}`, :math:`\texttt{'T'}` or :math:`\texttt{'B'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{direct}`.
Constraint: :math:`\mathrm{direct} = \texttt{'F'}` or :math:`\texttt{'B'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{m}`.
Constraint: :math:`\mathrm{m}\geq 0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06qx-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dgesrc`` performs the transformation
.. math::
A←PA\quad \text{ or }\quad A←AP^\mathrm{T}\text{,}
where :math:`A` is an :math:`m\times n` real matrix and :math:`P` is a real orthogonal matrix, defined as a sequence of plane rotations, :math:`P_k`, applied in planes :math:`k_1` to :math:`k_2`.
The :math:`2\times 2` plane rotation part of :math:`P_k` is assumed to have the form
.. math::
\begin{pmatrix}c_k&s_k\\-s_k&c_k\end{pmatrix}\text{.}
"""
raise NotImplementedError
[docs]def dlange(norm, a):
r"""
``dlange`` returns the value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of a real :math:`m\times n` matrix.
.. _f06ra-py2-py-doc:
For full information please refer to the NAG Library document for f06ra
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06raf.html
.. _f06ra-py2-py-parameters:
**Parameters**
**norm** : str, length 1
Specifies the value to be returned.
:math:`\mathrm{norm} = \texttt{'1'}` or :math:`\texttt{'O'}`
The :math:`1`-norm.
:math:`\mathrm{norm} = \texttt{'I'}`
The :math:`\infty`-norm.
:math:`\mathrm{norm} = \texttt{'F'}` or :math:`\texttt{'E'}`
The Frobenius (or Euclidean) norm.
:math:`\mathrm{norm} = \texttt{'M'}`
The value :math:`\mathrm{max}_{{i,j}}\left(\left\lvert a_{{ij}}\right\rvert \right)` (not a norm).
**a** : float, array-like, shape :math:`\left(m, n\right)`
The :math:`m\times n` matrix :math:`A`.
**Returns**
**nrm** : float
The value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of the real :math:`m\times n` matrix.
.. _f06ra-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{norm}`.
Constraint: :math:`\mathrm{norm} = \texttt{'1'}`, :math:`\texttt{'O'}`, :math:`\texttt{'I'}`, :math:`\texttt{'F'}`, :math:`\texttt{'E'}` or :math:`\texttt{'M'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{m}`.
Constraint: :math:`m\geq 0`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06ra-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def dlangb(norm, kl, ku, ab):
r"""
``dlangb`` returns the value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of a real :math:`n\times n` band matrix.
.. _f06rb-py2-py-doc:
For full information please refer to the NAG Library document for f06rb
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06rbf.html
.. _f06rb-py2-py-parameters:
**Parameters**
**norm** : str, length 1
Specifies the value to be returned.
:math:`\mathrm{norm} = \texttt{'1'}` or :math:`\texttt{'O'}`
The :math:`1`-norm.
:math:`\mathrm{norm} = \texttt{'I'}`
The :math:`\infty`-norm.
:math:`\mathrm{norm} = \texttt{'F'}` or :math:`\texttt{'E'}`
The Frobenius (or Euclidean) norm.
:math:`\mathrm{norm} = \texttt{'M'}`
The value :math:`\mathrm{max}_{{i,j}}\left(\left\lvert a_{{ij}}\right\rvert \right)` (not a norm).
**kl** : int
:math:`k_l`, the number of subdiagonals within the band of :math:`A`.
**ku** : int
:math:`k_u`, the number of superdiagonals within the band of :math:`A`.
**ab** : float, array-like, shape :math:`\left(\mathrm{kl}+\mathrm{ku}+1, n\right)`
The :math:`n\times n` band matrix :math:`A`.
**Returns**
**nrm** : float
The value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of the real :math:`n\times n` band matrix.
.. _f06rb-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{norm}`.
Constraint: :math:`\mathrm{norm} = \texttt{'1'}`, :math:`\texttt{'O'}`, :math:`\texttt{'I'}`, :math:`\texttt{'F'}`, :math:`\texttt{'E'}` or :math:`\texttt{'M'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{kl}`.
Constraint: :math:`\mathrm{kl}\geq 0`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{ku}`.
Constraint: :math:`\mathrm{ku}\geq 0`.
.. _f06rb-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def dlansy(norm, uplo, a):
r"""
``dlansy`` returns the value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of a real :math:`n\times n` symmetric matrix.
.. _f06rc-py2-py-doc:
For full information please refer to the NAG Library document for f06rc
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06rcf.html
.. _f06rc-py2-py-parameters:
**Parameters**
**norm** : str, length 1
Specifies the value to be returned.
:math:`\mathrm{norm} = \texttt{'1'}` or :math:`\texttt{'O'}`
The :math:`1`-norm.
:math:`\mathrm{norm} = \texttt{'I'}`
The :math:`\infty`-norm (= the :math:`1`-norm for a symmetric matrix).
:math:`\mathrm{norm} = \texttt{'F'}` or :math:`\texttt{'E'}`
The Frobenius (or Euclidean) norm.
:math:`\mathrm{norm} = \texttt{'M'}`
The value :math:`\mathrm{max}_{{i,j}}\left(\left\lvert a_{{ij}}\right\rvert \right)` (not a norm).
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**a** : float, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` symmetric matrix :math:`A`.
**Returns**
**nrm** : float
The value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of the real :math:`n\times n` symmetric matrix.
.. _f06rc-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{norm}`.
Constraint: :math:`\mathrm{norm} = \texttt{'1'}`, :math:`\texttt{'O'}`, :math:`\texttt{'I'}`, :math:`\texttt{'F'}`, :math:`\texttt{'E'}` or :math:`\texttt{'M'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06rc-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def dlansp(norm, uplo, n, ap):
r"""
``dlansp`` returns the value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of a real :math:`n\times n` symmetric matrix, stored in packed form.
.. _f06rd-py2-py-doc:
For full information please refer to the NAG Library document for f06rd
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06rdf.html
.. _f06rd-py2-py-parameters:
**Parameters**
**norm** : str, length 1
Specifies the value to be returned.
:math:`\mathrm{norm} = \texttt{'1'}` or :math:`\texttt{'O'}`
The :math:`1`-norm.
:math:`\mathrm{norm} = \texttt{'I'}`
The :math:`\infty`-norm (= the :math:`1`-norm for a symmetric matrix).
:math:`\mathrm{norm} = \texttt{'F'}` or :math:`\texttt{'E'}`
The Frobenius (or Euclidean) norm.
:math:`\mathrm{norm} = \texttt{'M'}`
The value :math:`\mathrm{max}_{{i,j}}\left(\left\lvert a_{{ij}}\right\rvert \right)` (not a norm).
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**n** : int
:math:`n`, the order of the matrix :math:`A`.
When :math:`\mathrm{n} = 0`, ``dlansp`` returns zero.
**ap** : float, array-like, shape :math:`\left(\mathrm{n}\times \left(\mathrm{n}+1\right)/2\right)`
The :math:`n\times n` symmetric matrix :math:`A`, packed by columns.
**Returns**
**nrm** : float
The value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of the real :math:`n\times n` symmetric matrix, stored in packed form.
.. _f06rd-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{norm}`.
Constraint: :math:`\mathrm{norm} = \texttt{'1'}`, :math:`\texttt{'O'}`, :math:`\texttt{'I'}`, :math:`\texttt{'F'}`, :math:`\texttt{'E'}` or :math:`\texttt{'M'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{n}`.
Constraint: :math:`\mathrm{n}\geq 0`.
.. _f06rd-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def dlansb(norm, uplo, k, ab):
r"""
``dlansb`` returns the value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of a real :math:`n\times n` symmetric band matrix.
.. _f06re-py2-py-doc:
For full information please refer to the NAG Library document for f06re
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06ref.html
.. _f06re-py2-py-parameters:
**Parameters**
**norm** : str, length 1
Specifies the value to be returned.
:math:`\mathrm{norm} = \texttt{'1'}` or :math:`\texttt{'O'}`
The :math:`1`-norm.
:math:`\mathrm{norm} = \texttt{'I'}`
The :math:`\infty`-norm (= the :math:`1`-norm for a symmetric matrix).
:math:`\mathrm{norm} = \texttt{'F'}` or :math:`\texttt{'E'}`
The Frobenius (or Euclidean) norm.
:math:`\mathrm{norm} = \texttt{'M'}`
The value :math:`\mathrm{max}_{{i,j}}\left(\left\lvert a_{{ij}}\right\rvert \right)` (not a norm).
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**k** : int
:math:`k`, the number of subdiagonals or superdiagonals of the matrix :math:`A`.
**ab** : float, array-like, shape :math:`\left(\mathrm{k}+1, n\right)`
The :math:`n\times n` symmetric band matrix :math:`A`.
**Returns**
**nrm** : float
The value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of the real :math:`n\times n` symmetric band matrix.
.. _f06re-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{norm}`.
Constraint: :math:`\mathrm{norm} = \texttt{'1'}`, :math:`\texttt{'O'}`, :math:`\texttt{'I'}`, :math:`\texttt{'F'}`, :math:`\texttt{'E'}` or :math:`\texttt{'M'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{k}`.
Constraint: :math:`\mathrm{k}\geq 0`.
.. _f06re-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def dlantr(norm, uplo, diag, m, a):
r"""
``dlantr`` returns the value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of a real :math:`m\times n` trapezoidal matrix (triangular if :math:`m = n`).
.. _f06rj-py2-py-doc:
For full information please refer to the NAG Library document for f06rj
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06rjf.html
.. _f06rj-py2-py-parameters:
**Parameters**
**norm** : str, length 1
Specifies the value to be returned.
:math:`\mathrm{norm} = \texttt{'1'}` or :math:`\texttt{'O'}`
The :math:`1`-norm.
:math:`\mathrm{norm} = \texttt{'I'}`
The :math:`\infty`-norm.
:math:`\mathrm{norm} = \texttt{'F'}` or :math:`\texttt{'E'}`
The Frobenius (or Euclidean) norm.
:math:`\mathrm{norm} = \texttt{'M'}`
The value :math:`\mathrm{max}_{{i,j}}\left(\left\lvert a_{{ij}}\right\rvert \right)` (not a norm).
**uplo** : str, length 1
Specifies whether :math:`A` is upper or lower trapezoidal.
:math:`\mathrm{uplo} = \texttt{'U'}`
:math:`A` is upper trapezoidal.
:math:`\mathrm{uplo} = \texttt{'L'}`
:math:`A` is lower trapezoidal.
**diag** : str, length 1
Specifies whether :math:`A` has nonunit or unit diagonal elements.
:math:`\mathrm{diag} = \texttt{'N'}`
The diagonal elements are stored explicitly.
:math:`\mathrm{diag} = \texttt{'U'}`
The diagonal elements are assumed to be :math:`1`, and are not referenced.
**m** : int
:math:`m`, the number of rows of the matrix :math:`A`.
When :math:`\mathrm{m} = 0`, ``dlantr`` is set to zero.
**a** : float, array-like, shape :math:`\left(\mathrm{m}, n\right)`
The :math:`m\times n` trapezoidal matrix :math:`A`.
**Returns**
**nrm** : float
The value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of the real :math:`m\times n` trapezoidal matrix (triangular if :math:`m = n`).
.. _f06rj-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{norm}`.
Constraint: :math:`\mathrm{norm} = \texttt{'1'}`, :math:`\texttt{'O'}`, :math:`\texttt{'I'}`, :math:`\texttt{'F'}`, :math:`\texttt{'E'}` or :math:`\texttt{'M'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{diag}`.
Constraint: :math:`\mathrm{diag} = \texttt{'N'}` or :math:`\texttt{'U'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{m}`.
Constraint: :math:`\mathrm{m}\geq 0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06rj-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def dlantp(norm, uplo, diag, n, ap):
r"""
``dlantp`` returns the value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of a real :math:`n\times n` triangular matrix, stored in packed form.
.. _f06rk-py2-py-doc:
For full information please refer to the NAG Library document for f06rk
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06rkf.html
.. _f06rk-py2-py-parameters:
**Parameters**
**norm** : str, length 1
Specifies the value to be returned.
:math:`\mathrm{norm} = \texttt{'1'}` or :math:`\texttt{'O'}`
The :math:`1`-norm.
:math:`\mathrm{norm} = \texttt{'I'}`
The :math:`\infty`-norm.
:math:`\mathrm{norm} = \texttt{'F'}` or :math:`\texttt{'E'}`
The Frobenius (or Euclidean) norm.
:math:`\mathrm{norm} = \texttt{'M'}`
The value :math:`\mathrm{max}_{{i,j}}\left(\left\lvert a_{{ij}}\right\rvert \right)` (not a norm).
**uplo** : str, length 1
Specifies whether :math:`A` is upper or lower triangular.
:math:`\mathrm{uplo} = \texttt{'U'}`
:math:`A` is upper triangular.
:math:`\mathrm{uplo} = \texttt{'L'}`
:math:`A` is lower triangular.
**diag** : str, length 1
Specifies whether :math:`A` has nonunit or unit diagonal elements.
:math:`\mathrm{diag} = \texttt{'N'}`
The diagonal elements are stored explicitly.
:math:`\mathrm{diag} = \texttt{'U'}`
The diagonal elements are assumed to be :math:`1`, and are not referenced.
**n** : int
:math:`n`, the order of the matrix :math:`A`.
When :math:`\mathrm{n} = 0`, ``dlantp`` returns zero.
**ap** : float, array-like, shape :math:`\left(\mathrm{n}\times \left(\mathrm{n}+1\right)/2\right)`
The :math:`n\times n` triangular matrix :math:`A`, packed by columns.
**Returns**
**nrm** : float
The value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of the real :math:`n\times n` triangular matrix, stored in packed form.
.. _f06rk-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{norm}`.
Constraint: :math:`\mathrm{norm} = \texttt{'1'}`, :math:`\texttt{'O'}`, :math:`\texttt{'I'}`, :math:`\texttt{'F'}`, :math:`\texttt{'E'}` or :math:`\texttt{'M'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{diag}`.
Constraint: :math:`\mathrm{diag} = \texttt{'N'}` or :math:`\texttt{'U'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{n}`.
Constraint: :math:`\mathrm{n}\geq 0`.
.. _f06rk-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def dlantb(norm, uplo, diag, k, ab):
r"""
``dlantb`` returns the value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of a real :math:`n\times n` triangular band matrix.
.. _f06rl-py2-py-doc:
For full information please refer to the NAG Library document for f06rl
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06rlf.html
.. _f06rl-py2-py-parameters:
**Parameters**
**norm** : str, length 1
Specifies the value to be returned.
:math:`\mathrm{norm} = \texttt{'1'}` or :math:`\texttt{'O'}`
The :math:`1`-norm.
:math:`\mathrm{norm} = \texttt{'I'}`
The :math:`\infty`-norm.
:math:`\mathrm{norm} = \texttt{'F'}` or :math:`\texttt{'E'}`
The Frobenius (or Euclidean) norm.
:math:`\mathrm{norm} = \texttt{'M'}`
The value :math:`\mathrm{max}_{{i,j}}\left(\left\lvert a_{{ij}}\right\rvert \right)` (not a norm).
**uplo** : str, length 1
Specifies whether :math:`A` is upper or lower triangular.
:math:`\mathrm{uplo} = \texttt{'U'}`
:math:`A` is upper triangular.
:math:`\mathrm{uplo} = \texttt{'L'}`
:math:`A` is lower triangular.
**diag** : str, length 1
Specifies whether :math:`A` has nonunit or unit diagonal elements.
:math:`\mathrm{diag} = \texttt{'N'}`
The diagonal elements are stored explicitly.
:math:`\mathrm{diag} = \texttt{'U'}`
The diagonal elements are assumed to be :math:`1`, and are not referenced.
**k** : int
:math:`k`, the number of subdiagonals or superdiagonals of the matrix :math:`A`.
**ab** : float, array-like, shape :math:`\left(\mathrm{k}+1, n\right)`
The :math:`n\times n` triangular band matrix :math:`A`
**Returns**
**nrm** : float
The value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of the real :math:`n\times n` triangular band matrix.
.. _f06rl-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{norm}`.
Constraint: :math:`\mathrm{norm} = \texttt{'1'}`, :math:`\texttt{'O'}`, :math:`\texttt{'I'}`, :math:`\texttt{'F'}`, :math:`\texttt{'E'}` or :math:`\texttt{'M'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{diag}`.
Constraint: :math:`\mathrm{diag} = \texttt{'N'}` or :math:`\texttt{'U'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\mathrm{k}`.
Constraint: :math:`\mathrm{k}\geq 0`.
.. _f06rl-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def dlanhs(norm, a):
r"""
``dlanhs`` returns the value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of a real :math:`n\times n` upper Hessenberg matrix.
.. _f06rm-py2-py-doc:
For full information please refer to the NAG Library document for f06rm
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06rmf.html
.. _f06rm-py2-py-parameters:
**Parameters**
**norm** : str, length 1
Specifies the value to be returned.
:math:`\mathrm{norm} = \texttt{'1'}` or :math:`\texttt{'O'}`
The :math:`1`-norm.
:math:`\mathrm{norm} = \texttt{'I'}`
The :math:`\infty`-norm.
:math:`\mathrm{norm} = \texttt{'F'}` or :math:`\texttt{'E'}`
The Frobenius (or Euclidean) norm.
:math:`\mathrm{norm} = \texttt{'M'}`
The value :math:`\mathrm{max}_{{i,j}}\left(\left\lvert a_{{ij}}\right\rvert \right)` (not a norm).
**a** : float, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` upper Hessenberg matrix :math:`A`; elements of the array below the first subdiagonal are not referenced.
**Returns**
**nrm** : float
The value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of the real :math:`n\times n` upper Hessenberg matrix.
.. _f06rm-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{norm}`.
Constraint: :math:`\mathrm{norm} = \texttt{'1'}`, :math:`\texttt{'O'}`, :math:`\texttt{'I'}`, :math:`\texttt{'F'}`, :math:`\texttt{'E'}` or :math:`\texttt{'M'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06rm-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def dlangt(norm, dl, d, du):
r"""
``dlangt`` returns the value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of a real :math:`n\times n` tridiagonal matrix :math:`A`.
.. _f06rn-py2-py-doc:
For full information please refer to the NAG Library document for f06rn
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06rnf.html
.. _f06rn-py2-py-parameters:
**Parameters**
**norm** : str, length 1
Specifies the value to be returned.
:math:`\mathrm{norm} = \texttt{'1'}` or :math:`\texttt{'O'}`
The :math:`1`-norm.
:math:`\mathrm{norm} = \texttt{'I'}`
The :math:`\infty`-norm.
:math:`\mathrm{norm} = \texttt{'F'}` or :math:`\texttt{'E'}`
The Frobenius (or Euclidean) norm.
:math:`\mathrm{norm} = \texttt{'M'}`
The value :math:`\mathrm{max}_{{i,j}}\left(\left\lvert a_{{ij}}\right\rvert \right)` (not a norm).
**dl** : float, array-like, shape :math:`\left(n-1\right)`
The (:math:`n-1`) subdiagonal elements of :math:`A`.
**d** : float, array-like, shape :math:`\left(n\right)`
The :math:`n` diagonal elements of :math:`A`.
**du** : float, array-like, shape :math:`\left(n-1\right)`
The (:math:`n-1`) superdiagonal elements of :math:`A`.
**Returns**
**nrm** : float
The value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of the real :math:`n\times n` tridiagonal matrix :math:`A`.
.. _f06rn-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{norm}`.
Constraint: :math:`\mathrm{norm} = \texttt{'1'}`, :math:`\texttt{'O'}`, :math:`\texttt{'I'}`, :math:`\texttt{'F'}`, :math:`\texttt{'E'}` or :math:`\texttt{'M'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06rn-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def dlanst(norm, d, e):
r"""
``dlanst`` returns the value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of a real :math:`n\times n` symmetric tridiagonal matrix :math:`A`.
.. _f06rp-py2-py-doc:
For full information please refer to the NAG Library document for f06rp
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06rpf.html
.. _f06rp-py2-py-parameters:
**Parameters**
**norm** : str, length 1
Specifies the value to be returned.
:math:`\mathrm{norm} = \texttt{'1'}` or :math:`\texttt{'O'}`
The :math:`1`-norm.
:math:`\mathrm{norm} = \texttt{'I'}`
The :math:`\infty`-norm.
:math:`\mathrm{norm} = \texttt{'F'}` or :math:`\texttt{'E'}`
The Frobenius (or Euclidean) norm.
:math:`\mathrm{norm} = \texttt{'M'}`
The value :math:`\mathrm{max}_{{i,j}}\left(\left\lvert a_{{ij}}\right\rvert \right)` (not a norm).
**d** : float, array-like, shape :math:`\left(n\right)`
The :math:`n` diagonal elements of the tridiagonal matrix :math:`A`.
**e** : float, array-like, shape :math:`\left(n-1\right)`
The (:math:`n-1`) subdiagonal or superdiagonal elements of the tridiagonal matrix :math:`A`.
**Returns**
**nrm** : float
The value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of the real :math:`n\times n` symmetric tridiagonal matrix :math:`A`.
.. _f06rp-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{norm}`.
Constraint: :math:`\mathrm{norm} = \texttt{'1'}`, :math:`\texttt{'O'}`, :math:`\texttt{'I'}`, :math:`\texttt{'F'}`, :math:`\texttt{'E'}` or :math:`\texttt{'M'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06rp-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def zgemv(trans, m, alpha, a, x, beta, y=None):
r"""
``zgemv`` computes the matrix-vector product for a complex general matrix, its transpose or its conjugate transpose.
.. _f06sa-py2-py-doc:
For full information please refer to the NAG Library document for f06sa
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06saf.html
.. _f06sa-py2-py-parameters:
**Parameters**
**trans** : str, length 1
Specifies the operation to be performed.
:math:`\mathrm{trans} = \texttt{'N'}`
:math:`y←\alpha Ax+\beta y`.
:math:`\mathrm{trans} = \texttt{'T'}`
:math:`y←\alpha A^\mathrm{T}x+\beta y`.
:math:`\mathrm{trans} = \texttt{'C'}`
:math:`y←\alpha A^\mathrm{H}x+\beta y`.
**m** : int
:math:`m`, the number of rows of the matrix :math:`A`.
**alpha** : complex
The scalar :math:`\alpha`.
**a** : complex, array-like, shape :math:`\left(\mathrm{m}, n\right)`
The :math:`m\times n` matrix :math:`A`.
**x** : complex, array-like, shape :math:`\left(:\right)`
Note: the required length for this argument is determined as follows: if :math:`\mathrm{trans}=\texttt{'N'}`: :math:`n`; if :math:`\mathrm{trans}\text{ in } (\texttt{'T'}, \texttt{'C'})`: :math:`\mathrm{m}`; otherwise: :math:`0`.
The vector :math:`x`.
**beta** : complex
The scalar :math:`\beta`.
**y** : None or complex, array-like, shape :math:`\left(:\right)`, optional
Note: the required length for this argument is determined as follows: if :math:`\mathrm{trans}=\texttt{'N'}`: :math:`\mathrm{m}`; if :math:`\mathrm{trans}\text{ in } (\texttt{'T'}, \texttt{'C'})`: :math:`n`; otherwise: :math:`0`.
The vector :math:`y`, if :math:`\mathrm{beta} = 0.0`, :math:`\mathrm{y}` need not be set.
**Returns**
**y** : complex, ndarray, shape :math:`\left(:\right)`
The updated vector :math:`y`.
.. _f06sa-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{trans} = \texttt{'N'}`, :math:`\texttt{'T'}` or :math:`\texttt{'C'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{m}`.
Constraint: :math:`\mathrm{m}\geq 0`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`8`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
(`errno` :math:`11`)
On entry, error in parameter :math:`\textit{incy}`.
Constraint: :math:`\textit{incy}\neq 0`.
.. _f06sa-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``zgemv`` performs one of the matrix-vector operations
.. math::
y←\alpha Ax+\beta y\text{, }\quad y←\alpha A^\mathrm{T}x+\beta y\quad \text{ or }\quad y←\alpha A^\mathrm{H}x+\beta y\text{,}
where :math:`A` is an :math:`m\times n` complex matrix, :math:`x` and :math:`y` are complex vectors, and :math:`\alpha` and :math:`\beta` are complex scalars.
If :math:`m = 0` or :math:`n = 0`, no operation is performed.
"""
raise NotImplementedError
[docs]def zgbmv(trans, m, kl, ku, alpha, a, x, beta, y=None):
r"""
``zgbmv`` computes the matrix-vector product for a complex general band matrix, its transpose or its conjugate transpose.
.. _f06sb-py2-py-doc:
For full information please refer to the NAG Library document for f06sb
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06sbf.html
.. _f06sb-py2-py-parameters:
**Parameters**
**trans** : str, length 1
Specifies the operation to be performed.
:math:`\mathrm{trans} = \texttt{'N'}`
:math:`y←\alpha Ax+\beta y`.
:math:`\mathrm{trans} = \texttt{'T'}`
:math:`y←\alpha A^\mathrm{T}x+\beta y`.
:math:`\mathrm{trans} = \texttt{'C'}`
:math:`y←\alpha A^\mathrm{H}x+\beta y`.
**m** : int
:math:`m`, the number of rows of the matrix :math:`A`.
**kl** : int
:math:`k_l`, the number of subdiagonals within the band of :math:`A`.
**ku** : int
:math:`k_u`, the number of superdiagonals within the band of :math:`A`.
**alpha** : complex
The scalar :math:`\alpha`.
**a** : complex, array-like, shape :math:`\left(\mathrm{kl}+\mathrm{ku}+1, n\right)`
The :math:`m\times n` band matrix :math:`A`.
**x** : complex, array-like, shape :math:`\left(:\right)`
Note: the required length for this argument is determined as follows: if :math:`\mathrm{trans}=\texttt{'N'}`: :math:`n`; if :math:`\mathrm{trans}\text{ in } (\texttt{'T'}, \texttt{'C'})`: :math:`\mathrm{m}`; otherwise: :math:`0`.
The vector :math:`x`.
**beta** : complex
The scalar :math:`\beta`.
**y** : None or complex, array-like, shape :math:`\left(:\right)`, optional
Note: the required length for this argument is determined as follows: if :math:`\mathrm{trans}=\texttt{'N'}`: :math:`\mathrm{m}`; if :math:`\mathrm{trans}\text{ in } (\texttt{'T'}, \texttt{'C'})`: :math:`n`; otherwise: :math:`0`.
The vector :math:`y`, if :math:`\mathrm{beta} = 0.0`, :math:`\mathrm{y}` need not be set.
**Returns**
**y** : complex, ndarray, shape :math:`\left(:\right)`
The updated vector :math:`y`.
.. _f06sb-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{trans} = \texttt{'N'}`, :math:`\texttt{'T'}` or :math:`\texttt{'C'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{m}`.
Constraint: :math:`\mathrm{m}\geq 0`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{kl}`.
Constraint: :math:`\mathrm{kl}\geq 0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\mathrm{ku}`.
Constraint: :math:`\mathrm{ku}\geq 0`.
(`errno` :math:`10`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
(`errno` :math:`13`)
On entry, error in parameter :math:`\textit{incy}`.
Constraint: :math:`\textit{incy}\neq 0`.
.. _f06sb-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``zgbmv`` performs one of the matrix-vector operations
.. math::
y←\alpha Ax+\beta y\text{, }\quad y←\alpha A^\mathrm{T}x+\beta y\quad \text{ or }\quad y←\alpha A^\mathrm{H}x+\beta y\text{,}
where :math:`A` is an :math:`m\times n` complex band matrix with :math:`k_l` subdiagonals and :math:`k_u` superdiagonals, :math:`x` and :math:`y` are complex vectors, and :math:`\alpha` and :math:`\beta` are complex scalars.
If :math:`m = 0` or :math:`n = 0`, no operation is performed.
"""
raise NotImplementedError
[docs]def zhemv(uplo, alpha, a, x, beta, y=None):
r"""
``zhemv`` computes the matrix-vector product for a complex Hermitian matrix.
.. _f06sc-py2-py-doc:
For full information please refer to the NAG Library document for f06sc
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06scf.html
.. _f06sc-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**alpha** : complex
The scalar :math:`\alpha`.
**a** : complex, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` Hermitian matrix :math:`A`.
**x** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**beta** : complex
The scalar :math:`\beta`.
**y** : None or complex, array-like, shape :math:`\left(n\right)`, optional
The :math:`n`-element vector :math:`y`, if :math:`\mathrm{beta} = 0.0`, :math:`\mathrm{y}` need not be set.
**Returns**
**y** : complex, ndarray, shape :math:`\left(n\right)`
The updated vector :math:`y`.
.. _f06sc-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`7`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
(`errno` :math:`10`)
On entry, error in parameter :math:`\textit{incy}`.
Constraint: :math:`\textit{incy}\neq 0`.
.. _f06sc-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``zhemv`` performs the matrix-vector operation
.. math::
y←\alpha Ax+\beta y\text{,}
where :math:`A` is an :math:`n\times n` complex Hermitian matrix, :math:`x` and :math:`y` are :math:`n`-element complex vectors, and :math:`\alpha` and :math:`\beta` are complex scalars.
"""
raise NotImplementedError
[docs]def zhbmv(uplo, k, alpha, a, x, beta, y=None):
r"""
``zhbmv`` computes the matrix-vector product for a complex Hermitian band matrix.
.. _f06sd-py2-py-doc:
For full information please refer to the NAG Library document for f06sd
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06sdf.html
.. _f06sd-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**k** : int
:math:`k`, the number of subdiagonals or superdiagonals of the matrix :math:`A`.
**alpha** : complex
The scalar :math:`\alpha`.
**a** : complex, array-like, shape :math:`\left(\mathrm{k}+1, n\right)`
The :math:`n\times n` Hermitian band matrix :math:`A`.
**x** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**beta** : complex
The scalar :math:`\beta`.
**y** : None or complex, array-like, shape :math:`\left(n\right)`, optional
The :math:`n`-element vector :math:`y`, if :math:`\mathrm{beta} = 0.0`, :math:`\mathrm{y}` need not be set.
**Returns**
**y** : complex, ndarray, shape :math:`\left(n\right)`
The updated vector :math:`y`.
.. _f06sd-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{k}`.
Constraint: :math:`\mathrm{k}\geq 0`.
(`errno` :math:`8`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
(`errno` :math:`11`)
On entry, error in parameter :math:`\textit{incy}`.
Constraint: :math:`\textit{incy}\neq 0`.
.. _f06sd-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``zhbmv`` performs the matrix-vector operation
.. math::
y←\alpha Ax+\beta y\text{,}
where :math:`A` is an :math:`n\times n` complex Hermitian band matrix with :math:`k` subdiagonals and :math:`k` superdiagonals, :math:`x` and :math:`y` are :math:`n`-element complex vectors, and :math:`\alpha` and :math:`\beta` are complex scalars.
"""
raise NotImplementedError
[docs]def zhpmv(uplo, alpha, ap, x, beta, y=None):
r"""
``zhpmv`` computes the matrix-vector product for a complex Hermitian matrix stored in packed form.
.. _f06se-py2-py-doc:
For full information please refer to the NAG Library document for f06se
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06sef.html
.. _f06se-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**alpha** : complex
The scalar :math:`\alpha`.
**ap** : complex, array-like, shape :math:`\left(n\times \left(n+1\right)/2\right)`
The :math:`n\times n` Hermitian matrix :math:`A`, packed by columns.
**x** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**beta** : complex
The scalar :math:`\beta`.
**y** : None or complex, array-like, shape :math:`\left(n\right)`, optional
The :math:`n`-element vector :math:`y`, if :math:`\mathrm{beta} = 0.0`, :math:`\mathrm{y}` need not be set.
**Returns**
**y** : complex, ndarray, shape :math:`\left(n\right)`
The updated vector :math:`y`.
.. _f06se-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`6`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
(`errno` :math:`9`)
On entry, error in parameter :math:`\textit{incy}`.
Constraint: :math:`\textit{incy}\neq 0`.
.. _f06se-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``zhpmv`` performs the matrix-vector operation
.. math::
y←\alpha Ax+\beta y\text{,}
where :math:`A` is an :math:`n\times n` complex Hermitian matrix stored in packed form, :math:`x` and :math:`y` are :math:`n`-element complex vectors, and :math:`\alpha` and :math:`\beta` are complex scalars.
"""
raise NotImplementedError
[docs]def ztrmv(uplo, trans, diag, a, x):
r"""
``ztrmv`` computes the matrix-vector product for a complex triangular matrix, its transpose or its conjugate transpose.
.. _f06sf-py2-py-doc:
For full information please refer to the NAG Library document for f06sf
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06sff.html
.. _f06sf-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether :math:`A` is upper or lower triangular.
:math:`\mathrm{uplo} = \texttt{'U'}`
:math:`A` is upper triangular.
:math:`\mathrm{uplo} = \texttt{'L'}`
:math:`A` is lower triangular.
**trans** : str, length 1
Specifies the operation to be performed.
:math:`\mathrm{trans} = \texttt{'N'}`
:math:`x←Ax`.
:math:`\mathrm{trans} = \texttt{'T'}`
:math:`x←A^\mathrm{T}x`.
:math:`\mathrm{trans} = \texttt{'C'}`
:math:`x←A^\mathrm{H}x`.
**diag** : str, length 1
Specifies whether :math:`A` has nonunit or unit diagonal elements.
:math:`\mathrm{diag} = \texttt{'N'}`
The diagonal elements are stored explicitly.
:math:`\mathrm{diag} = \texttt{'U'}`
The diagonal elements are assumed to be :math:`1`, and are not referenced.
**a** : complex, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` triangular matrix :math:`A`.
**x** : complex, array-like, shape :math:`\left(n\right)`
The vector :math:`x`.
**Returns**
**x** : complex, ndarray, shape :math:`\left(n\right)`
The updated vector :math:`x`.
.. _f06sf-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{trans} = \texttt{'N'}`, :math:`\texttt{'T'}` or :math:`\texttt{'C'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{diag}`.
Constraint: :math:`\mathrm{diag} = \texttt{'N'}` or :math:`\texttt{'U'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`8`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
.. _f06sf-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``ztrmv`` performs one of the matrix-vector operations
.. math::
x←Ax\text{, }\quad x←A^\mathrm{T}x\quad \text{ or }\quad x←A^\mathrm{H}x\text{,}
where :math:`A` is an :math:`n\times n` complex triangular matrix, and :math:`x` is an :math:`n`-element complex vector.
"""
raise NotImplementedError
[docs]def ztbmv(uplo, trans, diag, k, a, x):
r"""
``ztbmv`` computes the matrix-vector product for a complex triangular band matrix, its transpose or its conjugate transpose.
.. _f06sg-py2-py-doc:
For full information please refer to the NAG Library document for f06sg
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06sgf.html
.. _f06sg-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether :math:`A` is upper or lower triangular.
:math:`\mathrm{uplo} = \texttt{'U'}`
:math:`A` is upper triangular.
:math:`\mathrm{uplo} = \texttt{'L'}`
:math:`A` is lower triangular.
**trans** : str, length 1
Specifies the operation to be performed.
:math:`\mathrm{trans} = \texttt{'N'}`
:math:`x←Ax`.
:math:`\mathrm{trans} = \texttt{'T'}`
:math:`x←A^\mathrm{T}x`.
:math:`\mathrm{trans} = \texttt{'C'}`
:math:`x←A^\mathrm{H}x`.
**diag** : str, length 1
Specifies whether :math:`A` has nonunit or unit diagonal elements.
:math:`\mathrm{diag} = \texttt{'N'}`
The diagonal elements are stored explicitly.
:math:`\mathrm{diag} = \texttt{'U'}`
The diagonal elements are assumed to be :math:`1`, and are not referenced.
**k** : int
:math:`k`, the number of subdiagonals or superdiagonals of the matrix :math:`A`.
**a** : complex, array-like, shape :math:`\left(\mathrm{k}+1, n\right)`
The :math:`n\times n` triangular band matrix :math:`A`
**x** : complex, array-like, shape :math:`\left(n\right)`
The vector :math:`x`.
**Returns**
**x** : complex, ndarray, shape :math:`\left(n\right)`
The updated vector :math:`x`.
.. _f06sg-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{trans} = \texttt{'N'}`, :math:`\texttt{'T'}` or :math:`\texttt{'C'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{diag}`.
Constraint: :math:`\mathrm{diag} = \texttt{'N'}` or :math:`\texttt{'U'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\mathrm{k}`.
Constraint: :math:`\mathrm{k}\geq 0`.
(`errno` :math:`9`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
.. _f06sg-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``ztbmv`` performs one of the matrix-vector operations
.. math::
x←Ax\text{, }\quad x←A^\mathrm{T}x\quad \text{ or }\quad x←A^\mathrm{H}x\text{,}
where :math:`A` is an :math:`n\times n` complex triangular band matrix with :math:`k` subdiagonals or superdiagonals, and :math:`x` is an :math:`n`-element complex vector.
"""
raise NotImplementedError
[docs]def ztpmv(uplo, trans, diag, ap, x):
r"""
``ztpmv`` computes the matrix-vector product for a complex triangular matrix, its transpose or its conjugate transpose, stored in packed form.
.. _f06sh-py2-py-doc:
For full information please refer to the NAG Library document for f06sh
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06shf.html
.. _f06sh-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether :math:`A` is upper or lower triangular.
:math:`\mathrm{uplo} = \texttt{'U'}`
:math:`A` is upper triangular.
:math:`\mathrm{uplo} = \texttt{'L'}`
:math:`A` is lower triangular.
**trans** : str, length 1
Specifies the operation to be performed.
:math:`\mathrm{trans} = \texttt{'N'}`
:math:`x←Ax`.
:math:`\mathrm{trans} = \texttt{'T'}`
:math:`x←A^\mathrm{T}x`.
:math:`\mathrm{trans} = \texttt{'C'}`
:math:`x←A^\mathrm{H}x`.
**diag** : str, length 1
Specifies whether :math:`A` has nonunit or unit diagonal elements.
:math:`\mathrm{diag} = \texttt{'N'}`
The diagonal elements are stored explicitly.
:math:`\mathrm{diag} = \texttt{'U'}`
The diagonal elements are assumed to be :math:`1`, and are not referenced.
**ap** : complex, array-like, shape :math:`\left(n\times \left(n+1\right)/2\right)`
The :math:`n\times n` triangular matrix :math:`A`, packed by columns.
**x** : complex, array-like, shape :math:`\left(n\right)`
The vector :math:`x`.
**Returns**
**x** : complex, ndarray, shape :math:`\left(n\right)`
The updated vector :math:`x`.
.. _f06sh-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{trans} = \texttt{'N'}`, :math:`\texttt{'T'}` or :math:`\texttt{'C'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{diag}`.
Constraint: :math:`\mathrm{diag} = \texttt{'N'}` or :math:`\texttt{'U'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`7`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
.. _f06sh-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``ztpmv`` performs one of the matrix-vector operations
.. math::
x←Ax\text{, }\quad x←A^\mathrm{T}x\quad \text{ or }\quad x←A^\mathrm{H}x\text{,}
where :math:`A` is an :math:`n\times n` complex triangular matrix, stored in packed form, and :math:`x` is an :math:`n`-element complex vector.
"""
raise NotImplementedError
[docs]def ztrsv(uplo, trans, diag, a, x):
r"""
``ztrsv`` solves a complex triangular system of equations with a single right-hand side.
.. _f06sj-py2-py-doc:
For full information please refer to the NAG Library document for f06sj
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06sjf.html
.. _f06sj-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether :math:`A` is upper or lower triangular.
:math:`\mathrm{uplo} = \texttt{'U'}`
:math:`A` is upper triangular.
:math:`\mathrm{uplo} = \texttt{'L'}`
:math:`A` is lower triangular.
**trans** : str, length 1
Specifies the operation to be performed.
:math:`\mathrm{trans} = \texttt{'N'}`
:math:`x←A^{-1}x`.
:math:`\mathrm{trans} = \texttt{'T'}`
:math:`x←A^{-\mathrm{T}}x`.
:math:`\mathrm{trans} = \texttt{'C'}`
:math:`x←A^{-\mathrm{H}}x`.
**diag** : str, length 1
Specifies whether :math:`A` has nonunit or unit diagonal elements.
:math:`\mathrm{diag} = \texttt{'N'}`
The diagonal elements are stored explicitly.
:math:`\mathrm{diag} = \texttt{'U'}`
The diagonal elements are assumed to be :math:`1`, and are not referenced.
**a** : complex, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` triangular matrix :math:`A`.
**x** : complex, array-like, shape :math:`\left(n\right)`
The vector :math:`x`.
**Returns**
**x** : complex, ndarray, shape :math:`\left(n\right)`
The updated vector :math:`x`.
.. _f06sj-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{trans} = \texttt{'N'}`, :math:`\texttt{'T'}` or :math:`\texttt{'C'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{diag}`.
Constraint: :math:`\mathrm{diag} = \texttt{'N'}` or :math:`\texttt{'U'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`8`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
.. _f06sj-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``ztrsv`` performs one of the matrix-vector operations
.. math::
x←A^{-1}x\text{, }\quad x←A^{-\mathrm{T}}x\quad \text{ or }\quad x←A^{-\mathrm{H}}x\text{,}
where :math:`A` is an :math:`n\times n` complex triangular matrix, and :math:`x` is an :math:`n`-element complex vector. :math:`A^{-\mathrm{T}}` denotes :math:`\left(A^\mathrm{T}\right)^{-1}` or equivalently :math:`\left(A^{-1}\right)^\mathrm{T}`; :math:`A^{-\mathrm{H}}` denotes :math:`\left(A^\mathrm{H}\right)^{-1}` or equivalently :math:`\left(A^{-1}\right)^\mathrm{H}`.
No test for singularity or near-singularity of :math:`A` is included in this function.
Such tests must be performed before calling this function.
"""
raise NotImplementedError
[docs]def ztbsv(uplo, trans, diag, k, a, x):
r"""
``ztbsv`` solves a complex triangular banded system of equations with a single right-hand side.
.. _f06sk-py2-py-doc:
For full information please refer to the NAG Library document for f06sk
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06skf.html
.. _f06sk-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether :math:`A` is upper or lower triangular.
:math:`\mathrm{uplo} = \texttt{'U'}`
:math:`A` is upper triangular.
:math:`\mathrm{uplo} = \texttt{'L'}`
:math:`A` is lower triangular.
**trans** : str, length 1
Specifies the operation to be performed.
:math:`\mathrm{trans} = \texttt{'N'}`
:math:`x←A^{-1}x`.
:math:`\mathrm{trans} = \texttt{'T'}`
:math:`x←A^{-\mathrm{T}}x`.
:math:`\mathrm{trans} = \texttt{'C'}`
:math:`x←A^{-\mathrm{H}}x`.
**diag** : str, length 1
Specifies whether :math:`A` has nonunit or unit diagonal elements.
:math:`\mathrm{diag} = \texttt{'N'}`
The diagonal elements are stored explicitly.
:math:`\mathrm{diag} = \texttt{'U'}`
The diagonal elements are assumed to be :math:`1`, and are not referenced.
**k** : int
:math:`k`, the number of subdiagonals or superdiagonals of the matrix :math:`A`.
**a** : complex, array-like, shape :math:`\left(\mathrm{k}+1, n\right)`
The :math:`n\times n` triangular band matrix :math:`A`
**x** : complex, array-like, shape :math:`\left(n\right)`
The vector :math:`x`.
**Returns**
**x** : complex, ndarray, shape :math:`\left(n\right)`
The updated vector :math:`x`.
.. _f06sk-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{trans} = \texttt{'N'}`, :math:`\texttt{'T'}` or :math:`\texttt{'C'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{diag}`.
Constraint: :math:`\mathrm{diag} = \texttt{'N'}` or :math:`\texttt{'U'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\mathrm{k}`.
Constraint: :math:`\mathrm{k}\geq 0`.
(`errno` :math:`9`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
.. _f06sk-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``ztbsv`` performs one of the matrix-vector operations
.. math::
x←A^{-1}x\text{, }\quad x←A^{-\mathrm{T}}x\quad \text{ or }\quad x←A^{-\mathrm{H}}x\text{,}
where :math:`A` is an :math:`n\times n` complex triangular band matrix with :math:`k` subdiagonals or superdiagonals, and :math:`x` is an :math:`n`-element complex vector. :math:`A^{-\mathrm{T}}` denotes :math:`\left(A^\mathrm{T}\right)^{-1}` or equivalently :math:`\left(A^{-1}\right)^\mathrm{T}`; :math:`A^{-\mathrm{H}}` denotes :math:`\left(A^\mathrm{H}\right)^{-1}` or equivalently :math:`\left(A^{-1}\right)^\mathrm{H}`.
No test for singularity or near-singularity of :math:`A` is included in this function.
Such tests must be performed before calling this function.
"""
raise NotImplementedError
[docs]def ztpsv(uplo, trans, diag, ap, x):
r"""
``ztpsv`` solves a complex triangular system of equations, stored in packed form, with a single right-hand side.
.. _f06sl-py2-py-doc:
For full information please refer to the NAG Library document for f06sl
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06slf.html
.. _f06sl-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether :math:`A` is upper or lower triangular.
:math:`\mathrm{uplo} = \texttt{'U'}`
:math:`A` is upper triangular.
:math:`\mathrm{uplo} = \texttt{'L'}`
:math:`A` is lower triangular.
**trans** : str, length 1
Specifies the operation to be performed.
:math:`\mathrm{trans} = \texttt{'N'}`
:math:`x←A^{-1}x`.
:math:`\mathrm{trans} = \texttt{'T'}`
:math:`x←A^{-\mathrm{T}}x`.
:math:`\mathrm{trans} = \texttt{'C'}`
:math:`x←A^{-\mathrm{H}}x`.
**diag** : str, length 1
Specifies whether :math:`A` has nonunit or unit diagonal elements.
:math:`\mathrm{diag} = \texttt{'N'}`
The diagonal elements are stored explicitly.
:math:`\mathrm{diag} = \texttt{'U'}`
The diagonal elements are assumed to be :math:`1`, and are not referenced.
**ap** : complex, array-like, shape :math:`\left(n\times \left(n+1\right)/2\right)`
The :math:`n\times n` triangular matrix :math:`A`, packed by columns.
**x** : complex, array-like, shape :math:`\left(n\right)`
The vector :math:`x`.
**Returns**
**x** : complex, ndarray, shape :math:`\left(n\right)`
The updated vector :math:`x`.
.. _f06sl-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{trans} = \texttt{'N'}`, :math:`\texttt{'T'}` or :math:`\texttt{'C'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{diag}`.
Constraint: :math:`\mathrm{diag} = \texttt{'N'}` or :math:`\texttt{'U'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`7`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
.. _f06sl-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``ztpsv`` performs one of the matrix-vector operations
.. math::
x←A^{-1}x\text{, }\quad x←A^{-\mathrm{T}}x\quad \text{ or }\quad x←A^{-\mathrm{H}}x\text{,}
where :math:`A` is an :math:`n\times n` complex triangular matrix, stored in packed form, and :math:`x` is an :math:`n`-element complex vector. :math:`A^{-\mathrm{T}}` denotes :math:`\left(A^\mathrm{T}\right)^{-1}` or equivalently :math:`\left(A^{-1}\right)^\mathrm{T}`; :math:`A^{-\mathrm{H}}` denotes :math:`\left(A^\mathrm{H}\right)^{-1}` or equivalently :math:`\left(A^{-1}\right)^\mathrm{H}`.
No test for singularity or near-singularity of :math:`A` is included in this function.
Such tests must be performed before calling this function.
"""
raise NotImplementedError
[docs]def zgeru(alpha, x, y, a):
r"""
``zgeru`` computes the rank-1 update of a complex general matrix using an unconjugated vector.
.. _f06sm-py2-py-doc:
For full information please refer to the NAG Library document for f06sm
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06smf.html
.. _f06sm-py2-py-parameters:
**Parameters**
**alpha** : complex
The scalar :math:`\alpha`.
**x** : complex, array-like, shape :math:`\left(m\right)`
The :math:`m` element vector :math:`x`.
Intermediate elements of X are not referenced.
**y** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`y`.
**a** : complex, array-like, shape :math:`\left(m, n\right)`
The :math:`m\times n` matrix :math:`A`.
**Returns**
**a** : complex, ndarray, shape :math:`\left(m, n\right)`
The updated matrix :math:`A`.
.. _f06sm-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\textit{m}`.
Constraint: :math:`m\geq 0`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
(`errno` :math:`7`)
On entry, error in parameter :math:`\textit{incy}`.
Constraint: :math:`\textit{incy}\neq 0`.
.. _f06sm-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``zgeru`` performs the rank-1 update operation
.. math::
A←\alpha xy^\mathrm{T}+A\text{,}
where :math:`A` is an :math:`m\times n` complex matrix, :math:`x` is an :math:`m` element complex vector, :math:`y` is an :math:`n`-element complex vector, and :math:`\alpha` is a complex scalar.
"""
raise NotImplementedError
[docs]def zgerc(alpha, x, y, a):
r"""
``zgerc`` computes the rank-1 update of a complex general matrix using a conjugated vector.
.. _f06sn-py2-py-doc:
For full information please refer to the NAG Library document for f06sn
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06snf.html
.. _f06sn-py2-py-parameters:
**Parameters**
**alpha** : complex
The scalar :math:`\alpha`.
**x** : complex, array-like, shape :math:`\left(m\right)`
The :math:`m` element vector :math:`x`.
Intermediate elements of X are not referenced.
**y** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`y`.
**a** : complex, array-like, shape :math:`\left(m, n\right)`
The :math:`m\times n` matrix :math:`A`.
**Returns**
**a** : complex, ndarray, shape :math:`\left(m, n\right)`
The updated matrix :math:`A`.
.. _f06sn-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\textit{m}`.
Constraint: :math:`m\geq 0`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
(`errno` :math:`7`)
On entry, error in parameter :math:`\textit{incy}`.
Constraint: :math:`\textit{incy}\neq 0`.
.. _f06sn-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``zgerc`` performs the rank-1 update operation
.. math::
A←\alpha xy^\mathrm{H}+A\text{,}
where :math:`A` is an :math:`m\times n` complex matrix, :math:`x` is an :math:`m` element complex vector, :math:`y` is an :math:`n`-element complex vector, and :math:`\alpha` is a complex scalar.
"""
raise NotImplementedError
[docs]def zher(uplo, alpha, x, a):
r"""
``zher`` computes the rank-1 update of a complex Hermitian matrix.
.. _f06sp-py2-py-doc:
For full information please refer to the NAG Library document for f06sp
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06spf.html
.. _f06sp-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**alpha** : float
The scalar :math:`\alpha`.
**x** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**a** : complex, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` Hermitian matrix :math:`A`.
**Returns**
**a** : complex, ndarray, shape :math:`\left(n, n\right)`
The updated matrix :math:`A`. The imaginary parts of the diagonal elements are set to zero.
.. _f06sp-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
.. _f06sp-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``zher`` performs the Hermitian rank-1 update operation
.. math::
A←\alpha xx^\mathrm{H}+A\text{,}
where :math:`A` is an :math:`n\times n` complex Hermitian matrix, :math:`x` is an :math:`n`-element complex vector, and :math:`\alpha` is a real scalar.
"""
raise NotImplementedError
[docs]def zhpr(uplo, alpha, x, ap):
r"""
``zhpr`` computes the rank-1 update of a complex Hermitian matrix stored in packed form.
.. _f06sq-py2-py-doc:
For full information please refer to the NAG Library document for f06sq
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06sqf.html
.. _f06sq-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**alpha** : float
The scalar :math:`\alpha`.
**x** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**ap** : complex, array-like, shape :math:`\left(n\times \left(n+1\right)/2\right)`
The :math:`n\times n` Hermitian matrix :math:`A`, packed by columns.
**Returns**
**ap** : complex, ndarray, shape :math:`\left(n\times \left(n+1\right)/2\right)`
The updated matrix :math:`A`. The imaginary parts of the diagonal elements are set to zero.
.. _f06sq-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
.. _f06sq-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``zhpr`` performs the Hermitian rank-1 update operation
.. math::
A←\alpha xx^\mathrm{H}+A\text{,}
where :math:`A` is an :math:`n\times n` complex Hermitian matrix, stored in packed form, :math:`x` is an :math:`n`-element complex vector, and :math:`\alpha` is a real scalar.
"""
raise NotImplementedError
[docs]def zher2(uplo, alpha, x, y, a):
r"""
``zher2`` computes the rank-2 update of a complex Hermitian matrix.
.. _f06sr-py2-py-doc:
For full information please refer to the NAG Library document for f06sr
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06srf.html
.. _f06sr-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**alpha** : complex
The scalar :math:`\alpha`.
**x** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**y** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`y`.
**a** : complex, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` Hermitian matrix :math:`A`.
**Returns**
**a** : complex, ndarray, shape :math:`\left(n, n\right)`
The updated matrix :math:`A`. The imaginary parts of the diagonal elements are set to zero.
.. _f06sr-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
(`errno` :math:`7`)
On entry, error in parameter :math:`\textit{incy}`.
Constraint: :math:`\textit{incy}\neq 0`.
.. _f06sr-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``zher2`` performs the Hermitian rank-2 update operation
.. math::
A←\alpha xy^\mathrm{H}+\bar{\alpha }yx^\mathrm{H}+A\text{,}
where :math:`A` is an :math:`n\times n` complex Hermitian matrix, :math:`x` and :math:`y` are :math:`n`-element complex vectors, and :math:`\alpha` is a complex scalar.
"""
raise NotImplementedError
[docs]def zhpr2(uplo, alpha, x, y, ap):
r"""
``zhpr2`` computes the rank-2 update of a complex Hermitian matrix stored in packed form.
.. _f06ss-py2-py-doc:
For full information please refer to the NAG Library document for f06ss
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06ssf.html
.. _f06ss-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**alpha** : complex
The scalar :math:`\alpha`.
**x** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**y** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`y`.
**ap** : complex, array-like, shape :math:`\left(n\times \left(n+1\right)/2\right)`
The :math:`n\times n` Hermitian matrix :math:`A`, packed by columns.
**Returns**
**ap** : complex, ndarray, shape :math:`\left(n\times \left(n+1\right)/2\right)`
The updated matrix :math:`A`. The imaginary parts of the diagonal elements are set to zero.
.. _f06ss-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
(`errno` :math:`7`)
On entry, error in parameter :math:`\textit{incy}`.
Constraint: :math:`\textit{incy}\neq 0`.
.. _f06ss-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
``zhpr2`` performs the Hermitian rank-2 update operation
.. math::
A←\alpha xy^\mathrm{H}+\bar{\alpha }yx^\mathrm{H}+A\text{,}
where :math:`A` is an :math:`n\times n` complex Hermitian matrix, stored in packed form, :math:`x` and :math:`y` are :math:`n`-element complex vectors, and :math:`\alpha` is a complex scalar.
"""
raise NotImplementedError
[docs]def zsymv(uplo, alpha, a, x, beta, y):
r"""
``zsymv`` performs the matrix-vector operation
.. math::
y←\alpha Ax+\beta y\text{,}
where :math:`A` is an :math:`n\times n` complex symmetric matrix, :math:`x` and :math:`y` are :math:`n`-element complex vectors, and :math:`\alpha` and :math:`\beta` are complex scalars.
.. _f06ta-py2-py-doc:
For full information please refer to the NAG Library document for f06ta
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06taf.html
.. _f06ta-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**alpha** : complex
The scalar :math:`\alpha`.
**a** : complex, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` symmetric matrix :math:`A`.
**x** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**beta** : complex
The scalar :math:`\beta`.
**y** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`y`.
**Returns**
**y** : complex, ndarray, shape :math:`\left(n\right)`
The updated vector :math:`y`.
.. _f06ta-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`7`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
(`errno` :math:`10`)
On entry, error in parameter :math:`\textit{incy}`.
Constraint: :math:`\textit{incy}\neq 0`.
.. _f06ta-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def zsyr(uplo, alpha, x, a):
r"""
``zsyr`` performs the symmetric rank-1 update operation
.. math::
A←\alpha xx^\mathrm{T}+A\text{,}
where :math:`A` is an :math:`n\times n` complex symmetric matrix, :math:`x` is an :math:`n`-element complex vector, and :math:`\alpha` is a complex scalar.
.. _f06tb-py2-py-doc:
For full information please refer to the NAG Library document for f06tb
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06tbf.html
.. _f06tb-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**alpha** : complex
The scalar :math:`\alpha`.
**x** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**a** : complex, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` symmetric matrix :math:`A`.
**Returns**
**a** : complex, ndarray, shape :math:`\left(n, n\right)`
The updated matrix :math:`A`.
.. _f06tb-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
.. _f06tb-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def zspmv(uplo, alpha, ap, x, beta, y):
r"""
``zspmv`` performs the matrix-vector operation
.. math::
y←\alpha Ax+\beta y
where :math:`A` is an :math:`n\times n` complex symmetric matrix stored in packed form, :math:`x` and :math:`y` are :math:`n`-element complex vectors, and :math:`\alpha` and :math:`\beta` are complex scalars.
.. _f06tc-py2-py-doc:
For full information please refer to the NAG Library document for f06tc
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06tcf.html
.. _f06tc-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**alpha** : complex
The scalar :math:`\alpha`.
**ap** : complex, array-like, shape :math:`\left(n\times \left(n+1\right)/2\right)`
The :math:`n\times n` symmetric matrix :math:`A`, packed by columns.
**x** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**beta** : complex
The scalar :math:`\beta`.
**y** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`y`.
**Returns**
**y** : complex, ndarray, shape :math:`\left(n\right)`
The updated vector :math:`y`.
.. _f06tc-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`6`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
(`errno` :math:`9`)
On entry, error in parameter :math:`\textit{incy}`.
Constraint: :math:`\textit{incy}\neq 0`.
.. _f06tc-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def zspr(uplo, alpha, x, ap):
r"""
``zspr`` performs the symmetric rank-1 update operation
.. math::
A←\alpha xx^\mathrm{T}+A\text{,}
where :math:`A` is an :math:`n\times n` complex symmetric matrix, stored in packed form, :math:`x` is an :math:`n`-element complex vector, and :math:`\alpha` is a complex scalar.
.. _f06td-py2-py-doc:
For full information please refer to the NAG Library document for f06td
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06tdf.html
.. _f06td-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**alpha** : complex
The scalar :math:`\alpha`.
**x** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**ap** : complex, array-like, shape :math:`\left(n\times \left(n+1\right)/2\right)`
The :math:`n\times n` symmetric matrix :math:`A`, packed by columns.
**Returns**
**ap** : complex, ndarray, shape :math:`\left(n\times \left(n+1\right)/2\right)`
The updated matrix :math:`A`.
.. _f06td-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx}\neq 0`.
.. _f06td-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def zmcopy(matrix, m, a):
r"""
``zmcopy`` performs the matrix-copy operation
.. math::
B←A
where :math:`A` and :math:`B` are :math:`m\times n` complex general or trapezoidal matrices.
.. _f06tf-py2-py-doc:
For full information please refer to the NAG Library document for f06tf
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06tff.html
.. _f06tf-py2-py-parameters:
**Parameters**
**matrix** : str, length 1
The matrix type.
:math:`\mathrm{matrix} = \texttt{'G'}`
General matrix.
:math:`\mathrm{matrix} = \texttt{'U'}`
Upper trapezoidal matrix (upper triangular if :math:`m = n`).
:math:`\mathrm{matrix} = \texttt{'L'}`
Lower trapezoidal matrix (lower triangular if :math:`m = n`).
**m** : int
:math:`m`, the number of rows of the matrices :math:`A` and :math:`B`.
**a** : complex, array-like, shape :math:`\left(\mathrm{m}, n\right)`
The :math:`m\times n` general or trapezoidal matrix :math:`A`.
**Returns**
**b** : complex, ndarray, shape :math:`\left(\mathrm{m}, n\right)`
The :math:`m\times n` general or trapezoidal matrix :math:`B`.
.. _f06tf-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{matrix}`.
Constraint: :math:`\mathrm{matrix} = \texttt{'G'}`, :math:`\texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{m}`.
Constraint: :math:`\mathrm{m}\geq 0`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06tf-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def zmload(matrix, m, n, con, diag):
r"""
``zmload`` forms the complex :math:`m\times n` rectangular or trapezoidal matrix :math:`A` given by
.. math::
a_{{ij}} = \left\{\begin{array}{rr}\mathrm{diag}&\text{if }i = j\\\mathrm{const}&\text{if }i\neq j\end{array}\right. \text{.}
.. _f06th-py2-py-doc:
For full information please refer to the NAG Library document for f06th
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06thf.html
.. _f06th-py2-py-parameters:
**Parameters**
**matrix** : str, length 1
The matrix type.
:math:`\mathrm{matrix} = \texttt{'G'}`
General matrix.
:math:`\mathrm{matrix} = \texttt{'U'}`
Upper trapezoidal matrix (upper triangular if :math:`m = n`).
:math:`\mathrm{matrix} = \texttt{'L'}`
Lower trapezoidal matrix (lower triangular if :math:`m = n`).
**m** : int
:math:`m`, the number of rows of the matrix :math:`A`.
**n** : int
:math:`n`, the number of columns of the matrix :math:`A`.
**con** : complex
The value to be assigned to the off-diagonal elements of :math:`A`.
**diag** : complex
The value to be assigned to the diagonal elements of :math:`A`.
**Returns**
**a** : complex, ndarray, shape :math:`\left(\mathrm{m}, \mathrm{n}\right)`
The :math:`m\times n` general or trapezoidal matrix :math:`A`.
.. _f06th-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{matrix}`.
Constraint: :math:`\mathrm{matrix} = \texttt{'G'}`, :math:`\texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{m}`.
Constraint: :math:`\mathrm{m}\geq 0`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{n}`.
Constraint: :math:`\mathrm{n}\geq 0`.
.. _f06th-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def zhesrc(uplo, pivot, direct, k1, k2, c, s, a):
r"""
``zhesrc`` performs a Unitary similarity transformation (as a sequence of plane rotations) of a complex Hermitian matrix.
.. _f06tm-py2-py-doc:
For full information please refer to the NAG Library document for f06tm
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06tmf.html
.. _f06tm-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**pivot** : str, length 1
Specifies the plane rotated by :math:`P_k`.
:math:`\mathrm{pivot} = \texttt{'V'}` (variable pivot)
:math:`P_k` rotates the :math:`\left(k, {k+1}\right)` plane.
:math:`\mathrm{pivot} = \texttt{'T'}` (top pivot)
:math:`P_k` rotates the :math:`\left(k_1, {k+1}\right)` plane.
:math:`\mathrm{pivot} = \texttt{'B'}` (bottom pivot)
:math:`P_k` rotates the :math:`\left(k, k_2\right)` plane.
**direct** : str, length 1
Specifies the sequence direction.
:math:`\mathrm{direct} = \texttt{'F'}` (forward sequence)
:math:`P = P_{{k_2-1}} \cdots P_{{k_1+1}}P_{k_1}`.
:math:`\mathrm{direct} = \texttt{'B'}` (backward sequence)
:math:`P = P_{k_1}P_{{k_1+1}} \cdots P_{{k_2-1}}`.
**k1** : int
The value :math:`k_1`.
**k2** : int
The value :math:`k_2`.
**c** : float, array-like, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{c}[\textit{k}]` must hold :math:`c_{\textit{k}}`, the cosine of the rotation :math:`P_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**s** : complex, array-like, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{s}[\textit{k}]` must hold :math:`s_{\textit{k}}`, the sine of the rotation :math:`P_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**a** : complex, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` Hermitian matrix :math:`A`.
**Returns**
**a** : complex, ndarray, shape :math:`\left(n, n\right)`
The transformed matrix :math:`A`. The imaginary parts of the diagonal elements are set to zero.
.. _f06tm-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{pivot}`.
Constraint: :math:`\mathrm{pivot} = \texttt{'V'}`, :math:`\texttt{'T'}` or :math:`\texttt{'B'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{direct}`.
Constraint: :math:`\mathrm{direct} = \texttt{'F'}` or :math:`\texttt{'B'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06tm-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zhesrc`` performs the transformation
.. math::
A←PAP^\mathrm{H}
where :math:`A` is an :math:`n\times n` complex Hermitian matrix, and :math:`P` is a complex unitary matrix defined as a sequence of plane rotations, :math:`P_k`, applied in planes :math:`k_1` to :math:`k_2`.
The :math:`2\times 2` plane rotation part of :math:`P_k` is assumed to have the form
.. math::
\begin{pmatrix}c_k&\bar{s}_k\\-s_k&c_k\end{pmatrix}
with :math:`c_k` real.
"""
raise NotImplementedError
[docs]def zutr1(alpha, x, y, a):
r"""
``zutr1`` performs a :math:`QR` factorization (as a sequence of plane rotations) of a complex upper triangular matrix that has been modified by a rank-1 update.
.. _f06tp-py2-py-doc:
For full information please refer to the NAG Library document for f06tp
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06tpf.html
.. _f06tp-py2-py-parameters:
**Parameters**
**alpha** : complex
The scalar :math:`\alpha`.
**x** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**y** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`y`.
**a** : complex, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` upper triangular matrix :math:`U`. The imaginary parts of the diagonal elements must be zero.
**Returns**
**x** : complex, ndarray, shape :math:`\left(n\right)`
The referenced elements are overwritten by details of the sequence of plane rotations.
**a** : complex, ndarray, shape :math:`\left(n, n\right)`
The upper triangular matrix :math:`R`. The imaginary parts of the diagonal elements must be zero.
**c** : float, ndarray, shape :math:`\left(n-1\right)`
The cosines of the rotations :math:`Q_{\textit{k}}`, for :math:`\textit{k} = 1,2,\ldots,n-1`.
**s** : complex, ndarray, shape :math:`\left(n\right)`
The sines of the rotations :math:`Q_{\textit{k}}`, for :math:`\textit{k} = 1,2,\ldots,n-1`; :math:`\mathrm{s}[n]` holds :math:`d_n`, the :math:`n`\ th diagonal element of :math:`D`.
.. _f06tp-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx} > 0`.
(`errno` :math:`6`)
On entry, error in parameter :math:`\textit{incy}`.
Constraint: :math:`\textit{incy} > 0`.
.. _f06tp-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zutr1`` performs a :math:`QR` factorization of an upper triangular matrix which has been modified by a rank-1 update:
.. math::
\alpha xy^\mathrm{T}+U = QR
where :math:`U` and :math:`R` are :math:`n\times n` complex upper triangular matrices with real diagonal elements, :math:`x` and :math:`y` are :math:`n`-element complex vectors, :math:`\alpha` is a complex scalar, and :math:`Q` is an :math:`n\times n` complex unitary matrix.
:math:`Q` is formed as the product of two sequences of plane rotations and a unitary diagonal matrix :math:`D`:
.. math::
Q^\mathrm{H} = DQ_{{n-1}} \cdots Q_2Q_1P_1P_2 \cdots P_{{n-1}}
where
:math:`P_k` is a rotation in the :math:`\left(k, n\right)` plane, chosen to annihilate :math:`x_k`: thus :math:`Px = \beta e_n`, where :math:`P = P_1P_2 \cdots P_{{n-1}}` and :math:`e_n` is the last column of the unit matrix;
:math:`Q_k` is a rotation in the :math:`\left(k, n\right)` plane, chosen to annihilate the :math:`\left(n, k\right)` element of :math:`\left(\alpha \beta e_ny^\mathrm{T}+PU\right)`, and thus restore it to upper triangular form;
:math:`D = \mathrm{diag}\left(1,\ldots,1,d_n\right)`, with :math:`d_n` chosen to make :math:`r_{{nn}}` real; :math:`\left\lvert d_n\right\rvert = 1`.
The :math:`2\times 2` plane rotation part of :math:`P_k` or :math:`Q_k` has the form
.. math::
\begin{pmatrix}c_k&\bar{s}_k\\-s_k&c_k\end{pmatrix}
with :math:`c_k` real.
The tangents of the rotations :math:`P_k` are returned in the array :math:`\mathrm{x}`; the cosines and sines of these rotations can be recovered by calling :meth:`dcsg`.
The cosines and sines of the rotations :math:`Q_k` are returned directly in the arrays :math:`\mathrm{c}` and :math:`\mathrm{s}`.
"""
raise NotImplementedError
[docs]def zutupd(alpha, x, a):
r"""
``zutupd`` performs a :math:`QR` factorization (as a sequence of plane rotations) of a complex upper triangular matrix that has been augmented by a full row.
.. _f06tq-py2-py-doc:
For full information please refer to the NAG Library document for f06tq
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06tqf.html
.. _f06tq-py2-py-parameters:
**Parameters**
**alpha** : complex
The scalar :math:`\alpha`.
**x** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n`-element vector :math:`x`.
**a** : complex, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` upper triangular matrix :math:`U`.
**Returns**
**x** : complex, ndarray, shape :math:`\left(n\right)`
The referenced elements are overwritten by details of the sequence of plane rotations.
**a** : complex, ndarray, shape :math:`\left(n, n\right)`
The upper triangular matrix :math:`R`.
**c** : float, ndarray, shape :math:`\left(n\right)`
The values :math:`c_{\textit{k}}`, the cosines of the rotations :math:`Q_{\textit{k}}`, for :math:`\textit{k} = 1,2,\ldots,n`.
**s** : complex, ndarray, shape :math:`\left(n\right)`
The values :math:`s_{\textit{k}}`, the sines of the rotations :math:`Q_{\textit{k}}`, for :math:`\textit{k} = 1,2,\ldots,n`.
.. _f06tq-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{incx}`.
Constraint: :math:`\textit{incx} > 0`.
.. _f06tq-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zutupd`` performs the factorization
.. math::
\begin{pmatrix}U\\\alpha x^\mathrm{T}\end{pmatrix} = Q\begin{pmatrix}R\\0\end{pmatrix}
where :math:`U` and :math:`R` are :math:`n\times n` complex upper triangular matrices, :math:`x` is an :math:`n`-element complex vector, :math:`\alpha` is a complex scalar, and :math:`Q` is a complex unitary matrix.
If :math:`U` has real diagonal elements, then so does :math:`R`.
:math:`Q` is formed as a sequence of plane rotations
.. math::
Q^\mathrm{H} = Q_n \cdots Q_2Q_1
where :math:`Q_k` is a rotation in the :math:`\left(k, {n+1}\right)` plane, chosen to annihilate :math:`x_k`.
The :math:`2\times 2` plane rotation part of :math:`Q_k` has the form
.. math::
\begin{pmatrix}c_k&\bar{s}_k\\-s_k&c_k\end{pmatrix}
with :math:`c_k` real.
"""
raise NotImplementedError
[docs]def zuhqr(side, k1, k2, s, a):
r"""
``zuhqr`` performs a :math:`QR` or :math:`RQ` factorization (as a sequence of plane rotations) of a complex upper Hessenberg matrix.
.. _f06tr-py2-py-doc:
For full information please refer to the NAG Library document for f06tr
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06trf.html
.. _f06tr-py2-py-parameters:
**Parameters**
**side** : str, length 1
Specifies whether :math:`H` is operated on from the left or the right.
:math:`\mathrm{side} = \texttt{'L'}`
:math:`H` is pre-multiplied from the left.
:math:`\mathrm{side} = \texttt{'R'}`
:math:`H` is post-multiplied from the right.
**k1** : int
The value :math:`k_1`.
**k2** : int
The value :math:`k_2`.
**s** : float, array-like, shape :math:`\left(\mathrm{k2}-1\right)`
The nonzero subdiagonal elements of :math:`H`: :math:`\mathrm{s}[\textit{k}]` must hold :math:`h_{{\textit{k}+1,\textit{k}}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**a** : complex, array-like, shape :math:`\left(n, n\right)`
The upper triangular part of the :math:`n\times n` upper Hessenberg matrix :math:`H`.
**Returns**
**c** : complex, ndarray, shape :math:`\left(\mathrm{k2}\right)`
:math:`\mathrm{c}[\textit{k}]` holds :math:`c_{\textit{k}}`, the cosine of the rotation :math:`P_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`; :math:`\mathrm{c}[k_2]` holds :math:`d_{k_2}`, the :math:`k_2`\ th diagonal element of :math:`D`, if :math:`\mathrm{side} = \texttt{'L'}`, or :math:`d_{k_1}`, the :math:`k_1`\ th diagonal element of :math:`D`, if :math:`\mathrm{side} = \texttt{'R'}`.
**s** : float, ndarray, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{s}[\textit{k}]` holds :math:`s_{\textit{k}}`, the sine of the rotation :math:`P_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**a** : complex, ndarray, shape :math:`\left(n, n\right)`
The upper triangular matrix :math:`R`. The imaginary parts of the diagonal elements are set to zero.
.. _f06tr-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{side}`.
Constraint: :math:`\mathrm{side} = \texttt{'L'}` or :math:`\texttt{'R'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06tr-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zuhqr`` transforms an :math:`n\times n` complex upper Hessenberg matrix :math:`H` to upper triangular form :math:`R` by applying a unitary matrix :math:`P` from the left or the right. :math:`H` is assumed to have real nonzero subdiagonal elements :math:`h_{{\textit{k}+1,\textit{k}}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`, only; :math:`R` has real diagonal elements. :math:`P` is formed as a sequence of plane rotations in planes :math:`k_1` to :math:`k_2`.
If :math:`\mathrm{side} = \texttt{'L'}`, the rotations are applied from the left:
.. math::
PH = R\text{,}
where :math:`P = DP_{{k_2-1}} \cdots P_{{k_1+1}}P_{k_1}` and :math:`D = \mathrm{diag}\left(1,\ldots,1,d_{k_2},1,\ldots,1\right)` with :math:`\left\lvert d_{k_2}\right\rvert = 1`.
If :math:`\mathrm{side} = \texttt{'R'}`, the rotations are applied from the right:
.. math::
HP^\mathrm{H} = R\text{,}
where :math:`P = DP_{k_1}P_{{k_1+1}} \cdots P_{{k_2-1}}` and :math:`D = \mathrm{diag}\left(1,\ldots,1,d_{k_1},1,\ldots,1\right)` with :math:`\left\lvert d_{k_1}\right\rvert = 1`.
In either case, :math:`P_k` is a rotation in the :math:`\left(k, {k+1}\right)` plane, chosen to annihilate :math:`h_{{k+1,k}}`.
The :math:`2\times 2` plane rotation part of :math:`P_k` has the form
.. math::
\begin{pmatrix}\bar{c}_k&s_k\\-s_k&c_k\end{pmatrix}
with :math:`s_k` real.
"""
raise NotImplementedError
[docs]def zusqr(side, k1, k2, s, a):
r"""
``zusqr`` performs a :math:`QR` or :math:`RQ` factorization (as a sequence of plane rotations) of a complex upper spiked matrix.
.. _f06ts-py2-py-doc:
For full information please refer to the NAG Library document for f06ts
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06tsf.html
.. _f06ts-py2-py-parameters:
**Parameters**
**side** : str, length 1
Specifies whether :math:`H` is operated on from the left or the right.
:math:`\mathrm{side} = \texttt{'L'}`
:math:`H` is pre-multiplied from the left.
:math:`\mathrm{side} = \texttt{'R'}`
:math:`H` is post-multiplied from the right.
**k1** : int
The value :math:`k_1`.
**k2** : int
The value :math:`k_2`.
**s** : complex, array-like, shape :math:`\left(\mathrm{k2}\right)`
The nonzero elements of the spike of :math:`H`: :math:`\mathrm{s}[\textit{k}]` must hold :math:`h_{{\textit{k}_2,\textit{k}}}` if :math:`\mathrm{side} = \texttt{'L'}`, and :math:`h_{{\textit{k}+1,\textit{k}_1}}` if :math:`\mathrm{side} = \texttt{'R'}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**a** : complex, array-like, shape :math:`\left(n, n\right)`
The upper triangular part of the :math:`n\times n` upper spiked matrix :math:`H`. The imaginary parts of the diagonal elements must be zero, except for the :math:`\left(k_2, k_2\right)` element if :math:`\mathrm{side} = \texttt{'L'}`, or the :math:`\left(k_1, k_1\right)` element if :math:`\mathrm{side} = \texttt{'R'}`.
**Returns**
**c** : float, ndarray, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{c}[\textit{k}]` holds :math:`c_{\textit{k}}`, the cosine of the rotation :math:`P_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**s** : complex, ndarray, shape :math:`\left(\mathrm{k2}\right)`
:math:`\mathrm{s}[\textit{k}]` holds :math:`s_{\textit{k}}`, the sine of the rotation :math:`P_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`; :math:`\mathrm{s}[\textit{k}_2]` holds :math:`d_{k_2}`, the :math:`k_2`\ th diagonal element of :math:`D`, if :math:`\mathrm{side} = \texttt{'L'}`, or :math:`d_{k_1}`, the :math:`k_1`\ th diagonal element of :math:`D`, if :math:`\mathrm{side} = \texttt{'R'}`.
**a** : complex, ndarray, shape :math:`\left(n, n\right)`
The upper triangular matrix :math:`R`. The imaginary parts of the diagonal elements are set to zero.
.. _f06ts-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{side}`.
Constraint: :math:`\mathrm{side} = \texttt{'L'}` or :math:`\texttt{'R'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06ts-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zusqr`` transforms an :math:`n\times n` complex upper spiked matrix :math:`H` to upper triangular form :math:`R` by applying a complex unitary matrix :math:`P` from the left or the right. :math:`H` is assumed to have real diagonal elements except where the spike joins the diagonal; :math:`R` has real diagonal elements. :math:`P` is formed as a sequence of plane rotations in planes :math:`k_1` to :math:`k_2`.
If :math:`\mathrm{side} = \texttt{'L'}`, :math:`H` is assumed to have a row spike, with nonzero elements :math:`h_{{\textit{k}_2,\textit{k}}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
The rotations are applied from the left:
.. math::
PH = R\text{,}
where :math:`P = DP_{{k_2-1}} \cdots P_{{k_1+1}}P_{k_1}`, :math:`P_k` is a rotation in the :math:`\left(k, k_2\right)` plane and :math:`D = \mathrm{diag}\left(1,\ldots,1,d_{k_2},1,\ldots,1\right)` with :math:`\left\lvert d_{k_2}\right\rvert = 1`.
If :math:`\mathrm{side} = \texttt{'R'}`, :math:`H` is assumed to have a column spike, with nonzero elements :math:`h_{{\textit{k}+1,\textit{k}_1}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
The rotations are applied from the right:
.. math::
HP^\mathrm{H} = R\text{,}
where :math:`P = DP_{k_1}P_{{k_1+1}} \cdots P_{{k_2-1}}`, :math:`P_k` is a rotation in the :math:`\left(k_1, {k+1}\right)` plane and :math:`D = \mathrm{diag}\left(1,\ldots,1,d_{k_1},1,\ldots,1\right)` with :math:`\left\lvert d_{k_1}\right\rvert = 1`.
The :math:`2\times 2` plane rotation part of :math:`P_k` has the form
.. math::
\begin{pmatrix}c_k&\bar{s}_k\\-s_k&c_k\end{pmatrix}
with :math:`c_k` real.
"""
raise NotImplementedError
[docs]def zutsqr(side, k1, k2, c, s, a):
r"""
``zutsqr`` performs a :math:`QR` or :math:`RQ` factorization of the product of a complex upper triangular matrix and a complex matrix of plane rotations.
.. _f06tt-py2-py-doc:
For full information please refer to the NAG Library document for f06tt
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06ttf.html
.. _f06tt-py2-py-parameters:
**Parameters**
**side** : str, length 1
Specifies whether :math:`P` is applied from the left or the right in the transformation.
:math:`\mathrm{side} = \texttt{'L'}`
:math:`P` is applied from the left.
:math:`\mathrm{side} = \texttt{'R'}`
:math:`P` is applied from the right.
**k1** : int
The value :math:`k_1`.
**k2** : int
The value :math:`k_2`.
**c** : float, array-like, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{c}[\textit{k}]` must hold the cosine of the rotation :math:`P_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**s** : complex, array-like, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{s}[\textit{k}]` must hold the sine of the rotation :math:`P_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**a** : complex, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` upper triangular matrix :math:`U`.
**Returns**
**c** : float, ndarray, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{c}[\textit{k}]` holds the cosine of the rotation :math:`Q_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**s** : complex, ndarray, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{s}[\textit{k}]` holds the sine of the rotation :math:`Q_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**a** : complex, ndarray, shape :math:`\left(n, n\right)`
The upper triangular matrix :math:`R`.
.. _f06tt-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{side}`.
Constraint: :math:`\mathrm{side} = \texttt{'L'}` or :math:`\texttt{'R'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06tt-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zutsqr`` performs one of the transformations
.. math::
R←PUQ^\mathrm{H}\quad \text{ or }\quad R←QUP^\mathrm{H}\text{,}
where :math:`U` is a given :math:`n\times n` complex upper triangular matrix, :math:`P` is a given complex unitary matrix, and :math:`Q` is a complex unitary matrix chosen to make :math:`R` upper triangular.
Both :math:`P` and :math:`Q` are represented as sequences of plane rotations in planes :math:`k_1` to :math:`k_2`.
If :math:`\mathrm{side} = \texttt{'L'}`,
.. math::
R←PUQ^\mathrm{H}\text{,}
where :math:`P = P_{{k_2-1}}\ldots P_{{k_1+1}}P_{k_1}` and :math:`Q = Q_{{k_2-1}}\ldots Q_{{k_1+1}}Q_{k_1}`.
If :math:`\mathrm{side} = \texttt{'R'}`,
.. math::
R←QUP^\mathrm{H}\text{,}
where :math:`P = P_{k_1}P_{{k_1+1}}\ldots P_{{k_2-1}}` and :math:`Q = Q_{k_1}Q_{{k_1+1}}\ldots Q_{{k_2-1}}`.
In either case :math:`P_k` and :math:`Q_k` are rotations in the :math:`\left(k, {k+1}\right)` plane.
The :math:`2\times 2` rotation part of :math:`P_k` or :math:`Q_k` has the form
.. math::
\begin{pmatrix}c_k&\bar{s}_k\\-s_k&c_k\end{pmatrix}
with :math:`c_k` real.
"""
raise NotImplementedError
[docs]def zutsrh(side, k1, k2, c, s, a):
r"""
``zutsrh`` transforms a complex upper triangular matrix to an upper Hessenberg matrix by applying a given sequence of plane rotations.
.. _f06tv-py2-py-doc:
For full information please refer to the NAG Library document for f06tv
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06tvf.html
.. _f06tv-py2-py-parameters:
**Parameters**
**side** : str, length 1
Specifies whether :math:`U` is operated on from the left or the right.
:math:`\mathrm{side} = \texttt{'L'}`
:math:`U` is pre-multiplied from the left.
:math:`\mathrm{side} = \texttt{'R'}`
:math:`U` is post-multiplied from the right.
**k1** : int
The value :math:`k_1`.
**k2** : int
The value :math:`k_2`.
**c** : complex, array-like, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{c}[\textit{k}]` must hold :math:`c_{\textit{k}}`, the cosine of the rotation :math:`P_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**s** : float, array-like, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{s}[\textit{k}]` must hold :math:`s_{\textit{k}}`, the sine of the rotation :math:`P_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**a** : complex, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` upper triangular matrix :math:`U`. The imaginary parts of the diagonal elements must be zero.
**Returns**
**s** : float, ndarray, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{s}[\textit{k}]` holds :math:`h_{{\textit{k}+1,\textit{k}}}`, the subdiagonal element of :math:`H`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**a** : complex, ndarray, shape :math:`\left(n, n\right)`
The upper triangular part of the upper Hessenberg matrix :math:`H`.
.. _f06tv-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{side}`.
Constraint: :math:`\mathrm{side} = \texttt{'L'}` or :math:`\texttt{'R'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06tv-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zutsrh`` transforms an :math:`n\times n` complex upper triangular matrix :math:`U` with real diagonal elements, to an upper Hessenberg matrix :math:`H`, by applying a given sequence of plane rotations from either the left or the right, in planes :math:`\textit{k}_1` to :math:`\textit{k}_2`; :math:`H` has real nonzero subdiagonal elements :math:`h_{{\textit{k}+1,\textit{k}}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1` only.
If :math:`\mathrm{side} = \texttt{'L'}`, the rotations are applied from the left:
.. math::
H = PU\text{,}
where :math:`P = P_{k_1}P_{{k_1+1}} \cdots P_{{k_2-1}}`.
If :math:`\mathrm{side} = \texttt{'R'}`, the rotations are applied from the right:
.. math::
H = UP^\mathrm{H}\text{,}
where :math:`P = P_{{k_2-1}} \cdots P_{{k_1+1}}P_{k_1}`.
In either case, :math:`P_k` is a rotation in the :math:`\left(k, {k+1}\right)` plane.
The :math:`2\times 2` plane rotation part of :math:`P_k` has the form
.. math::
\begin{pmatrix}\bar{c}_k&s_k\\-s_k&c_k\end{pmatrix}
with :math:`s_k` real.
"""
raise NotImplementedError
[docs]def zutsrs(side, k1, k2, c, s, a):
r"""
``zutsrs`` transforms a complex upper triangular matrix to an upper spiked matrix by applying a given sequence of plane rotations.
.. _f06tw-py2-py-doc:
For full information please refer to the NAG Library document for f06tw
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06twf.html
.. _f06tw-py2-py-parameters:
**Parameters**
**side** : str, length 1
Specifies whether :math:`U` is operated on from the left or the right.
:math:`\mathrm{side} = \texttt{'L'}`
:math:`U` is pre-multiplied from the left.
:math:`\mathrm{side} = \texttt{'R'}`
:math:`U` is post-multiplied from the right.
**k1** : int
The value :math:`k_1`.
**k2** : int
The value :math:`k_2`.
**c** : float, array-like, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{c}[\textit{k}]` must hold :math:`c_{\textit{k}}`, the cosine of the rotation :math:`P_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**s** : complex, array-like, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{s}[\textit{k}]` must hold :math:`s_{\textit{k}}`, the sine of the rotation :math:`P_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**a** : complex, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` upper triangular matrix :math:`U`. The imaginary parts of the diagonal elements must be zero.
**Returns**
**s** : complex, ndarray, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{s}[\textit{k}]` holds a nonzero element of the spike of :math:`H`: :math:`h_{{\textit{k}_2,\textit{k}}}` if :math:`\mathrm{side} = \texttt{'L'}`, or :math:`h_{{\textit{k}+1,\textit{k}_1}}` if :math:`\mathrm{side} = \texttt{'R'}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**a** : complex, ndarray, shape :math:`\left(n, n\right)`
The upper triangular part of the upper spiked matrix :math:`H`. The imaginary parts of the diagonal elements are set to zero except for the :math:`\left(k_2, k_2\right)` element if :math:`\mathrm{side} = \texttt{'L'}`, or the :math:`\left(k_1, k_1\right)` element if :math:`\mathrm{side} = \texttt{'R'}`.
.. _f06tw-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{side}`.
Constraint: :math:`\mathrm{side} = \texttt{'L'}` or :math:`\texttt{'R'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06tw-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zutsrs`` transforms an :math:`n\times n` complex upper triangular matrix :math:`U` with real diagonal elements, to an upper spiked matrix :math:`H`, by applying a given sequence of plane rotations from either the left or the right, in planes :math:`k_1` to :math:`k_2`. :math:`H` has real diagonal elements except where the spike joins the diagonal.
If :math:`\mathrm{side} = \texttt{'L'}`, :math:`H` has a row spike, with nonzero elements :math:`h_{{k_2,k}}`, for :math:`k = k_1,k_1+1,\ldots,k_2-1`.
The rotations are applied from the left:
.. math::
H = PU\text{,}
where :math:`P = P_{k_1}P_{{k_1+1}} \cdots P_{{k_2-1}}` and :math:`P_k` is a rotation in the :math:`\left(k, k_2\right)` plane.
If :math:`\mathrm{side} = \texttt{'R'}`, :math:`H` has a column spike, with nonzero elements :math:`h_{{k+1,k_1}}`, for :math:`k = k_1,k_1+1,\ldots,k_2-1`.
The rotations are applied from the right:
.. math::
HP^\mathrm{H} = R\text{,}
where :math:`P = P_{{k_2-1}} \cdots P_{{k_1+1}}P_{k_1}` and :math:`P_k` is a rotation in the :math:`\left(k_1, {k+1}\right)` plane.
The :math:`2\times 2` plane rotation part of :math:`P_k` has the form
.. math::
\begin{pmatrix}c_k&\bar{s}_k\\-s_k&c_k\end{pmatrix}
with :math:`c_k` real.
"""
raise NotImplementedError
[docs]def zgesrc(side, pivot, direct, m, k1, k2, c, s, a):
r"""
``zgesrc`` applies to a complex rectangular matrix a sequence of plane rotations having real cosines and complex sines.
.. _f06tx-py2-py-doc:
For full information please refer to the NAG Library document for f06tx
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06txf.html
.. _f06tx-py2-py-parameters:
**Parameters**
**side** : str, length 1
Specifies whether :math:`A` is operated on from the left or the right.
:math:`\mathrm{side} = \texttt{'L'}`
:math:`A` is pre-multiplied from the left.
:math:`\mathrm{side} = \texttt{'R'}`
:math:`A` is post-multiplied from the right.
**pivot** : str, length 1
Specifies the plane rotated by :math:`P_k`.
:math:`\mathrm{pivot} = \texttt{'V'}` (variable pivot)
:math:`P_k` rotates the :math:`\left(k, {k+1}\right)` plane.
:math:`\mathrm{pivot} = \texttt{'T'}` (top pivot)
:math:`P_k` rotates the :math:`\left(k_1, {k+1}\right)` plane.
:math:`\mathrm{pivot} = \texttt{'B'}` (bottom pivot)
:math:`P_k` rotates the :math:`\left(k, k_2\right)` plane.
**direct** : str, length 1
Specifies the sequence direction.
:math:`\mathrm{direct} = \texttt{'F'}` (forward sequence)
:math:`P = P_{{k_2-1}} \cdots P_{{k_1+1}}P_{k_1}`.
:math:`\mathrm{direct} = \texttt{'B'}` (backward sequence)
:math:`P = P_{k_1}P_{{k_1+1}} \cdots P_{{k_2-1}}`.
**m** : int
:math:`m`, the number of rows of the matrix :math:`A`.
**k1** : int
The value :math:`k_1`.
**k2** : int
The value :math:`k_2`.
**c** : float, array-like, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{c}[\textit{k}]` must hold :math:`c_{\textit{k}}`, the cosine of the rotation :math:`P_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**s** : complex, array-like, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{s}[\textit{k}]` must hold :math:`s_{\textit{k}}`, the sine of the rotation :math:`P_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**a** : complex, array-like, shape :math:`\left(\mathrm{m}, n\right)`
The :math:`m\times n` matrix :math:`A`.
**Returns**
**a** : complex, ndarray, shape :math:`\left(\mathrm{m}, n\right)`
The transformed matrix :math:`A`.
.. _f06tx-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{side}`.
Constraint: :math:`\mathrm{side} = \texttt{'L'}` or :math:`\texttt{'R'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{pivot}`.
Constraint: :math:`\mathrm{pivot} = \texttt{'V'}`, :math:`\texttt{'T'}` or :math:`\texttt{'B'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{direct}`.
Constraint: :math:`\mathrm{direct} = \texttt{'F'}` or :math:`\texttt{'B'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{m}`.
Constraint: :math:`\mathrm{m}\geq 0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06tx-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zgesrc`` performs the transformation
.. math::
A←PA\quad \text{ or }\quad A←AP^\mathrm{H}\text{,}
where :math:`A` is an :math:`m\times n` complex matrix and :math:`P` is a complex unitary matrix, defined as a sequence of complex plane rotations, :math:`P_k`, with real cosines, applied in planes :math:`k_1` to :math:`k_2`.
The :math:`2\times 2` plane rotation part of :math:`P_k` is assumed to have the form
.. math::
\begin{pmatrix}c_k&\bar{s}_k\\-s_k&c_k\end{pmatrix}
with :math:`c_k` real.
"""
raise NotImplementedError
[docs]def zgesrs(side, pivot, direct, m, k1, k2, c, s, a):
r"""
``zgesrs`` applies to a complex rectangular matrix a sequence of plane rotations having real sines and complex cosines.
.. _f06ty-py2-py-doc:
For full information please refer to the NAG Library document for f06ty
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06tyf.html
.. _f06ty-py2-py-parameters:
**Parameters**
**side** : str, length 1
Specifies whether :math:`A` is operated on from the left or the right.
:math:`\mathrm{side} = \texttt{'L'}`
:math:`A` is pre-multiplied from the left.
:math:`\mathrm{side} = \texttt{'R'}`
:math:`A` is post-multiplied from the right.
**pivot** : str, length 1
Specifies the plane rotated by :math:`P_k`.
:math:`\mathrm{pivot} = \texttt{'V'}` (variable pivot)
:math:`P_k` rotates the :math:`\left(k, {k+1}\right)` plane.
:math:`\mathrm{pivot} = \texttt{'T'}` (top pivot)
:math:`P_k` rotates the :math:`\left(k_1, {k+1}\right)` plane.
:math:`\mathrm{pivot} = \texttt{'B'}` (bottom pivot)
:math:`P_k` rotates the :math:`\left(k, k_2\right)` plane.
**direct** : str, length 1
Specifies the sequence direction.
:math:`\mathrm{direct} = \texttt{'F'}` (forward sequence)
:math:`P = P_{{k_2-1}} \cdots P_{{k_1+1}}P_{k_1}`.
:math:`\mathrm{direct} = \texttt{'B'}` (backward sequence)
:math:`P = P_{k_1}P_{{k_1+1}} \cdots P_{{k_2-1}}`.
**m** : int
:math:`m`, the number of rows of the matrix :math:`A`.
**k1** : int
The value :math:`k_1`.
**k2** : int
The value :math:`k_2`.
**c** : complex, array-like, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{c}[\textit{k}]` must hold :math:`c_{\textit{k}}`, the cosine of the rotation :math:`P_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**s** : float, array-like, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{s}[\textit{k}]` must hold :math:`s_{\textit{k}}`, the sine of the rotation :math:`P_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**a** : complex, array-like, shape :math:`\left(\mathrm{m}, n\right)`
The :math:`m\times n` matrix :math:`A`.
**Returns**
**a** : complex, ndarray, shape :math:`\left(\mathrm{m}, n\right)`
The transformed matrix :math:`A`.
.. _f06ty-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{side}`.
Constraint: :math:`\mathrm{side} = \texttt{'L'}` or :math:`\texttt{'R'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{pivot}`.
Constraint: :math:`\mathrm{pivot} = \texttt{'V'}`, :math:`\texttt{'T'}` or :math:`\texttt{'B'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{direct}`.
Constraint: :math:`\mathrm{direct} = \texttt{'F'}` or :math:`\texttt{'B'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{m}`.
Constraint: :math:`\mathrm{m}\geq 0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06ty-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zgesrs`` performs the transformation
.. math::
A←PA\quad \text{ or }\quad A←AP^\mathrm{H}\text{,}
where :math:`A` is an :math:`m\times n` complex matrix and :math:`P` is a complex unitary matrix, defined as a sequence of complex plane rotations, :math:`P_k`, with real sines, applied in planes :math:`k_1` to :math:`k_2`.
The :math:`2\times 2` plane rotation part of :math:`P_k` is assumed to have the form
.. math::
\begin{pmatrix}\bar{c}_k&s_k\\-s_k&c_k\end{pmatrix}
with :math:`s_k` real.
"""
raise NotImplementedError
[docs]def zlange(norm, m, a):
r"""
``zlange`` returns the value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of a complex :math:`m\times n` matrix.
.. _f06ua-py2-py-doc:
For full information please refer to the NAG Library document for f06ua
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06uaf.html
.. _f06ua-py2-py-parameters:
**Parameters**
**norm** : str, length 1
Specifies the value to be returned.
:math:`\mathrm{norm} = \texttt{'1'}` or :math:`\texttt{'O'}`
The :math:`1`-norm.
:math:`\mathrm{norm} = \texttt{'I'}`
The :math:`\infty`-norm.
:math:`\mathrm{norm} = \texttt{'F'}` or :math:`\texttt{'E'}`
The Frobenius (or Euclidean) norm.
:math:`\mathrm{norm} = \texttt{'M'}`
The value :math:`\mathrm{max}_{{i,j}}\left(\left\lvert a_{{ij}}\right\rvert \right)` (not a norm).
**m** : int
:math:`m`, the number of rows of the matrix :math:`A`.
When :math:`\mathrm{m} = 0`, ``zlange`` is set to zero.
**a** : complex, array-like, shape :math:`\left(\mathrm{m}, n\right)`
The :math:`m\times n` matrix :math:`A`.
**Returns**
**nrm** : float
The value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of the complex :math:`m\times n` matrix.
.. _f06ua-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{norm}`.
Constraint: :math:`\mathrm{norm} = \texttt{'1'}`, :math:`\texttt{'O'}`, :math:`\texttt{'I'}`, :math:`\texttt{'F'}`, :math:`\texttt{'E'}` or :math:`\texttt{'M'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{m}`.
Constraint: :math:`\mathrm{m}\geq 0`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06ua-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def zlangb(norm, kl, ku, ab):
r"""
``zlangb`` returns the value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of a complex :math:`n\times n` band matrix.
.. _f06ub-py2-py-doc:
For full information please refer to the NAG Library document for f06ub
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06ubf.html
.. _f06ub-py2-py-parameters:
**Parameters**
**norm** : str, length 1
Specifies the value to be returned.
:math:`\mathrm{norm} = \texttt{'1'}` or :math:`\texttt{'O'}`
The :math:`1`-norm.
:math:`\mathrm{norm} = \texttt{'I'}`
The :math:`\infty`-norm.
:math:`\mathrm{norm} = \texttt{'F'}` or :math:`\texttt{'E'}`
The Frobenius (or Euclidean) norm.
:math:`\mathrm{norm} = \texttt{'M'}`
The value :math:`\mathrm{max}_{{i,j}}\left(\left\lvert a_{{ij}}\right\rvert \right)` (not a norm).
**kl** : int
:math:`k_l`, the number of subdiagonals within the band of :math:`A`.
**ku** : int
:math:`k_u`, the number of superdiagonals within the band of :math:`A`.
**ab** : complex, array-like, shape :math:`\left(\mathrm{kl}+\mathrm{ku}+1, n\right)`
The :math:`n\times n` band matrix :math:`A`.
**Returns**
**nrm** : float
The value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of the complex :math:`n\times n` band matrix.
.. _f06ub-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{norm}`.
Constraint: :math:`\mathrm{norm} = \texttt{'1'}`, :math:`\texttt{'O'}`, :math:`\texttt{'I'}`, :math:`\texttt{'F'}`, :math:`\texttt{'E'}` or :math:`\texttt{'M'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{kl}`.
Constraint: :math:`\mathrm{kl}\geq 0`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{ku}`.
Constraint: :math:`\mathrm{ku}\geq 0`.
.. _f06ub-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def zlanhe(norm, uplo, a):
r"""
``zlanhe`` returns the value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of a complex :math:`n\times n` Hermitian matrix.
.. _f06uc-py2-py-doc:
For full information please refer to the NAG Library document for f06uc
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06ucf.html
.. _f06uc-py2-py-parameters:
**Parameters**
**norm** : str, length 1
Specifies the value to be returned.
:math:`\mathrm{norm} = \texttt{'1'}` or :math:`\texttt{'O'}`
The :math:`1`-norm.
:math:`\mathrm{norm} = \texttt{'I'}`
The :math:`\infty`-norm (= the :math:`1`-norm for a Hermitian matrix).
:math:`\mathrm{norm} = \texttt{'F'}` or :math:`\texttt{'E'}`
The Frobenius (or Euclidean) norm.
:math:`\mathrm{norm} = \texttt{'M'}`
The value :math:`\mathrm{max}_{{i,j}}\left(\left\lvert a_{{ij}}\right\rvert \right)` (not a norm).
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**a** : complex, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` Hermitian matrix :math:`A`.
**Returns**
**nrm** : float
The value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of the complex :math:`n\times n` Hermitian matrix.
.. _f06uc-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{norm}`.
Constraint: :math:`\mathrm{norm} = \texttt{'1'}`, :math:`\texttt{'O'}`, :math:`\texttt{'I'}`, :math:`\texttt{'F'}`, :math:`\texttt{'E'}` or :math:`\texttt{'M'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06uc-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def zlanhp(norm, uplo, n, ap):
r"""
``zlanhp`` returns the value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of a complex :math:`n\times n` Hermitian matrix, stored in packed form.
.. _f06ud-py2-py-doc:
For full information please refer to the NAG Library document for f06ud
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06udf.html
.. _f06ud-py2-py-parameters:
**Parameters**
**norm** : str, length 1
Specifies the value to be returned.
:math:`\mathrm{norm} = \texttt{'1'}` or :math:`\texttt{'O'}`
The :math:`1`-norm.
:math:`\mathrm{norm} = \texttt{'I'}`
The :math:`\infty`-norm (= the :math:`1`-norm for a Hermitian matrix).
:math:`\mathrm{norm} = \texttt{'F'}` or :math:`\texttt{'E'}`
The Frobenius (or Euclidean) norm.
:math:`\mathrm{norm} = \texttt{'M'}`
The value :math:`\mathrm{max}_{{i,j}}\left(\left\lvert a_{{ij}}\right\rvert \right)` (not a norm).
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**n** : int
:math:`n`, the order of the matrix :math:`A`.
When :math:`\mathrm{n} = 0`, ``zlanhp`` returns zero.
**ap** : complex, array-like, shape :math:`\left(\mathrm{n}\times \left(\mathrm{n}+1\right)/2\right)`
The :math:`n\times n` Hermitian matrix :math:`A`, packed by columns.
**Returns**
**nrm** : float
The value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of the complex :math:`n\times n` Hermitian matrix, stored in packed form.
.. _f06ud-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{norm}`.
Constraint: :math:`\mathrm{norm} = \texttt{'1'}`, :math:`\texttt{'O'}`, :math:`\texttt{'I'}`, :math:`\texttt{'F'}`, :math:`\texttt{'E'}` or :math:`\texttt{'M'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{n}`.
Constraint: :math:`\mathrm{n}\geq 0`.
.. _f06ud-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def zlanhb(norm, uplo, k, ab):
r"""
``zlanhb`` returns the value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of a complex :math:`n\times n` Hermitian band matrix.
.. _f06ue-py2-py-doc:
For full information please refer to the NAG Library document for f06ue
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06uef.html
.. _f06ue-py2-py-parameters:
**Parameters**
**norm** : str, length 1
Specifies the value to be returned.
:math:`\mathrm{norm} = \texttt{'1'}` or :math:`\texttt{'O'}`
The :math:`1`-norm.
:math:`\mathrm{norm} = \texttt{'I'}`
The :math:`\infty`-norm (= the :math:`1`-norm for a Hermitian matrix).
:math:`\mathrm{norm} = \texttt{'F'}` or :math:`\texttt{'E'}`
The Frobenius (or Euclidean) norm.
:math:`\mathrm{norm} = \texttt{'M'}`
The value :math:`\mathrm{max}_{{i,j}}\left(\left\lvert a_{{ij}}\right\rvert \right)` (not a norm).
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**k** : int
:math:`k`, the number of subdiagonals or superdiagonals of the matrix :math:`A`.
**ab** : complex, array-like, shape :math:`\left(\mathrm{k}+1, n\right)`
The :math:`n\times n` Hermitian band matrix :math:`A`.
**Returns**
**nrm** : float
The value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of the complex :math:`n\times n` Hermitian band matrix.
.. _f06ue-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{norm}`.
Constraint: :math:`\mathrm{norm} = \texttt{'1'}`, :math:`\texttt{'O'}`, :math:`\texttt{'I'}`, :math:`\texttt{'F'}`, :math:`\texttt{'E'}` or :math:`\texttt{'M'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{k}`.
Constraint: :math:`\mathrm{k}\geq 0`.
.. _f06ue-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def zlansy(norm, uplo, a):
r"""
``zlansy`` returns the value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of a complex :math:`n\times n` symmetric matrix.
.. _f06uf-py2-py-doc:
For full information please refer to the NAG Library document for f06uf
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06uff.html
.. _f06uf-py2-py-parameters:
**Parameters**
**norm** : str, length 1
Specifies the value to be returned.
:math:`\mathrm{norm} = \texttt{'1'}` or :math:`\texttt{'O'}`
The :math:`1`-norm.
:math:`\mathrm{norm} = \texttt{'I'}`
The :math:`\infty`-norm (= the :math:`1`-norm for a symmetric matrix).
:math:`\mathrm{norm} = \texttt{'F'}` or :math:`\texttt{'E'}`
The Frobenius (or Euclidean) norm.
:math:`\mathrm{norm} = \texttt{'M'}`
The value :math:`\mathrm{max}_{{i,j}}\left(\left\lvert a_{{ij}}\right\rvert \right)` (not a norm).
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**a** : complex, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` symmetric matrix :math:`A`.
**Returns**
**nrm** : float
The value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of the complex :math:`n\times n` symmetric matrix.
.. _f06uf-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{norm}`.
Constraint: :math:`\mathrm{norm} = \texttt{'1'}`, :math:`\texttt{'O'}`, :math:`\texttt{'I'}`, :math:`\texttt{'F'}`, :math:`\texttt{'E'}` or :math:`\texttt{'M'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06uf-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def zlansp(norm, uplo, n, ap):
r"""
``zlansp`` returns the value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of a complex :math:`n\times n` symmetric matrix, stored in packed form.
.. _f06ug-py2-py-doc:
For full information please refer to the NAG Library document for f06ug
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06ugf.html
.. _f06ug-py2-py-parameters:
**Parameters**
**norm** : str, length 1
Specifies the value to be returned.
:math:`\mathrm{norm} = \texttt{'1'}` or :math:`\texttt{'O'}`
The :math:`1`-norm.
:math:`\mathrm{norm} = \texttt{'I'}`
The :math:`\infty`-norm (= the :math:`1`-norm for a symmetric matrix).
:math:`\mathrm{norm} = \texttt{'F'}` or :math:`\texttt{'E'}`
The Frobenius (or Euclidean) norm.
:math:`\mathrm{norm} = \texttt{'M'}`
The value :math:`\mathrm{max}_{{i,j}}\left(\left\lvert a_{{ij}}\right\rvert \right)` (not a norm).
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**n** : int
:math:`n`, the order of the matrix :math:`A`.
When :math:`\mathrm{n} = 0`, ``zlansp`` returns zero.
**ap** : complex, array-like, shape :math:`\left(\mathrm{n}\times \left(\mathrm{n}+1\right)/2\right)`
The :math:`n\times n` symmetric matrix :math:`A`, packed by columns.
**Returns**
**nrm** : float
The value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of the complex :math:`n\times n` symmetric matrix, stored in packed form.
.. _f06ug-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{norm}`.
Constraint: :math:`\mathrm{norm} = \texttt{'1'}`, :math:`\texttt{'O'}`, :math:`\texttt{'I'}`, :math:`\texttt{'F'}`, :math:`\texttt{'E'}` or :math:`\texttt{'M'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{n}`.
Constraint: :math:`\mathrm{n}\geq 0`.
.. _f06ug-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def zlansb(norm, uplo, k, ab):
r"""
``zlansb`` returns the value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of a complex :math:`n\times n` symmetric band matrix.
.. _f06uh-py2-py-doc:
For full information please refer to the NAG Library document for f06uh
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06uhf.html
.. _f06uh-py2-py-parameters:
**Parameters**
**norm** : str, length 1
Specifies the value to be returned.
:math:`\mathrm{norm} = \texttt{'1'}` or :math:`\texttt{'O'}`
The :math:`1`-norm.
:math:`\mathrm{norm} = \texttt{'I'}`
The :math:`\infty`-norm (= the :math:`1`-norm for a symmetric matrix).
:math:`\mathrm{norm} = \texttt{'F'}` or :math:`\texttt{'E'}`
The Frobenius (or Euclidean) norm.
:math:`\mathrm{norm} = \texttt{'M'}`
The value :math:`\mathrm{max}_{{i,j}}\left(\left\lvert a_{{ij}}\right\rvert \right)` (not a norm).
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**k** : int
:math:`k`, the number of subdiagonals or superdiagonals of the matrix :math:`A`.
**ab** : complex, array-like, shape :math:`\left(\mathrm{k}+1, n\right)`
The :math:`n\times n` symmetric band matrix :math:`A`.
**Returns**
**nrm** : float
The value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of the complex :math:`n\times n` symmetric band matrix.
.. _f06uh-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{norm}`.
Constraint: :math:`\mathrm{norm} = \texttt{'1'}`, :math:`\texttt{'O'}`, :math:`\texttt{'I'}`, :math:`\texttt{'F'}`, :math:`\texttt{'E'}` or :math:`\texttt{'M'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{k}`.
Constraint: :math:`\mathrm{k}\geq 0`.
.. _f06uh-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def zlantr(norm, uplo, diag, m, a):
r"""
``zlantr`` returns the value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of a complex :math:`m\times n` trapezoidal matrix (triangular if :math:`m = n`).
.. _f06uj-py2-py-doc:
For full information please refer to the NAG Library document for f06uj
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06ujf.html
.. _f06uj-py2-py-parameters:
**Parameters**
**norm** : str, length 1
Specifies the value to be returned.
:math:`\mathrm{norm} = \texttt{'1'}` or :math:`\texttt{'O'}`
The :math:`1`-norm.
:math:`\mathrm{norm} = \texttt{'I'}`
The :math:`\infty`-norm.
:math:`\mathrm{norm} = \texttt{'F'}` or :math:`\texttt{'E'}`
The Frobenius (or Euclidean) norm.
:math:`\mathrm{norm} = \texttt{'M'}`
The value :math:`\mathrm{max}_{{i,j}}\left(\left\lvert a_{{ij}}\right\rvert \right)` (not a norm).
**uplo** : str, length 1
Specifies whether :math:`A` is upper or lower trapezoidal.
:math:`\mathrm{uplo} = \texttt{'U'}`
:math:`A` is upper trapezoidal.
:math:`\mathrm{uplo} = \texttt{'L'}`
:math:`A` is lower trapezoidal.
**diag** : str, length 1
Specifies whether :math:`A` has nonunit or unit diagonal elements.
:math:`\mathrm{diag} = \texttt{'N'}`
The diagonal elements are stored explicitly.
:math:`\mathrm{diag} = \texttt{'U'}`
The diagonal elements are assumed to be :math:`1`, and are not referenced.
**m** : int
:math:`m`, the number of rows of the matrix :math:`A`.
When :math:`\mathrm{m} = 0`, ``zlantr`` is set to zero.
**a** : complex, array-like, shape :math:`\left(\mathrm{m}, n\right)`
The :math:`m\times n` trapezoidal matrix :math:`A`.
**Returns**
**nrm** : float
The value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of the complex :math:`m\times n` trapezoidal matrix (triangular if :math:`m = n`).
.. _f06uj-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{norm}`.
Constraint: :math:`\mathrm{norm} = \texttt{'1'}`, :math:`\texttt{'O'}`, :math:`\texttt{'I'}`, :math:`\texttt{'F'}`, :math:`\texttt{'E'}` or :math:`\texttt{'M'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{diag}`.
Constraint: :math:`\mathrm{diag} = \texttt{'N'}` or :math:`\texttt{'U'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{m}`.
Constraint: :math:`\mathrm{m}\geq 0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06uj-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def zlantp(norm, uplo, diag, n, ap):
r"""
``zlantp`` returns the value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of a complex :math:`n\times n` triangular matrix, stored in packed form.
.. _f06uk-py2-py-doc:
For full information please refer to the NAG Library document for f06uk
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06ukf.html
.. _f06uk-py2-py-parameters:
**Parameters**
**norm** : str, length 1
Specifies the value to be returned.
:math:`\mathrm{norm} = \texttt{'1'}` or :math:`\texttt{'O'}`
The :math:`1`-norm.
:math:`\mathrm{norm} = \texttt{'I'}`
The :math:`\infty`-norm.
:math:`\mathrm{norm} = \texttt{'F'}` or :math:`\texttt{'E'}`
The Frobenius (or Euclidean) norm.
:math:`\mathrm{norm} = \texttt{'M'}`
The value :math:`\mathrm{max}_{{i,j}}\left(\left\lvert a_{{ij}}\right\rvert \right)` (not a norm).
**uplo** : str, length 1
Specifies whether :math:`A` is upper or lower triangular.
:math:`\mathrm{uplo} = \texttt{'U'}`
:math:`A` is upper triangular.
:math:`\mathrm{uplo} = \texttt{'L'}`
:math:`A` is lower triangular.
**diag** : str, length 1
Specifies whether :math:`A` has nonunit or unit diagonal elements.
:math:`\mathrm{diag} = \texttt{'N'}`
The diagonal elements are stored explicitly.
:math:`\mathrm{diag} = \texttt{'U'}`
The diagonal elements are assumed to be :math:`1`, and are not referenced.
**n** : int
:math:`n`, the order of the matrix :math:`A`.
When :math:`\mathrm{n} = 0`, ``zlantp`` returns zero.
**ap** : complex, array-like, shape :math:`\left(\mathrm{n}\times \left(\mathrm{n}+1\right)/2\right)`
The :math:`n\times n` triangular matrix :math:`A`, packed by columns.
**Returns**
**nrm** : float
The value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of the complex :math:`n\times n` triangular matrix, stored in packed form.
.. _f06uk-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{norm}`.
Constraint: :math:`\mathrm{norm} = \texttt{'1'}`, :math:`\texttt{'O'}`, :math:`\texttt{'I'}`, :math:`\texttt{'F'}`, :math:`\texttt{'E'}` or :math:`\texttt{'M'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{diag}`.
Constraint: :math:`\mathrm{diag} = \texttt{'N'}` or :math:`\texttt{'U'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{n}`.
Constraint: :math:`\mathrm{n}\geq 0`.
.. _f06uk-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def zlantb(norm, uplo, diag, k, ab):
r"""
``zlantb`` returns the value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of a complex :math:`n\times n` triangular band matrix.
.. _f06ul-py2-py-doc:
For full information please refer to the NAG Library document for f06ul
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06ulf.html
.. _f06ul-py2-py-parameters:
**Parameters**
**norm** : str, length 1
Specifies the value to be returned.
:math:`\mathrm{norm} = \texttt{'1'}` or :math:`\texttt{'O'}`
The :math:`1`-norm.
:math:`\mathrm{norm} = \texttt{'I'}`
The :math:`\infty`-norm.
:math:`\mathrm{norm} = \texttt{'F'}` or :math:`\texttt{'E'}`
The Frobenius (or Euclidean) norm.
:math:`\mathrm{norm} = \texttt{'M'}`
The value :math:`\mathrm{max}_{{i,j}}\left(\left\lvert a_{{ij}}\right\rvert \right)` (not a norm).
**uplo** : str, length 1
Specifies whether :math:`A` is upper or lower triangular.
:math:`\mathrm{uplo} = \texttt{'U'}`
:math:`A` is upper triangular.
:math:`\mathrm{uplo} = \texttt{'L'}`
:math:`A` is lower triangular.
**diag** : str, length 1
Specifies whether :math:`A` has nonunit or unit diagonal elements.
:math:`\mathrm{diag} = \texttt{'N'}`
The diagonal elements are stored explicitly.
:math:`\mathrm{diag} = \texttt{'U'}`
The diagonal elements are assumed to be :math:`1`, and are not referenced.
**k** : int
:math:`k`, the number of subdiagonals or superdiagonals of the matrix :math:`A`.
**ab** : complex, array-like, shape :math:`\left(\mathrm{k}+1, n\right)`
The :math:`n\times n` triangular band matrix :math:`A`
**Returns**
**nrm** : float
The value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of the complex :math:`n\times n` triangular band matrix.
.. _f06ul-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{norm}`.
Constraint: :math:`\mathrm{norm} = \texttt{'1'}`, :math:`\texttt{'O'}`, :math:`\texttt{'I'}`, :math:`\texttt{'F'}`, :math:`\texttt{'E'}` or :math:`\texttt{'M'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{diag}`.
Constraint: :math:`\mathrm{diag} = \texttt{'N'}` or :math:`\texttt{'U'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\mathrm{k}`.
Constraint: :math:`\mathrm{k}\geq 0`.
.. _f06ul-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def zlanhs(norm, a):
r"""
``zlanhs`` returns the value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of a complex :math:`n\times n` upper Hessenberg matrix.
.. _f06um-py2-py-doc:
For full information please refer to the NAG Library document for f06um
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06umf.html
.. _f06um-py2-py-parameters:
**Parameters**
**norm** : str, length 1
Specifies the value to be returned.
:math:`\mathrm{norm} = \texttt{'1'}` or :math:`\texttt{'O'}`
The :math:`1`-norm.
:math:`\mathrm{norm} = \texttt{'I'}`
The :math:`\infty`-norm.
:math:`\mathrm{norm} = \texttt{'F'}` or :math:`\texttt{'E'}`
The Frobenius (or Euclidean) norm.
:math:`\mathrm{norm} = \texttt{'M'}`
The value :math:`\mathrm{max}_{{i,j}}\left(\left\lvert a_{{ij}}\right\rvert \right)` (not a norm).
**a** : complex, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` upper Hessenberg matrix :math:`A`; elements of the array below the first subdiagonal are not referenced.
**Returns**
**nrm** : float
The value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of the complex :math:`n\times n` upper Hessenberg matrix.
.. _f06um-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{norm}`.
Constraint: :math:`\mathrm{norm} = \texttt{'1'}`, :math:`\texttt{'O'}`, :math:`\texttt{'I'}`, :math:`\texttt{'F'}`, :math:`\texttt{'E'}` or :math:`\texttt{'M'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06um-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def zlangt(norm, dl, d, du):
r"""
``zlangt`` returns the value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of a complex :math:`n\times n` tridiagonal matrix :math:`A`.
.. _f06un-py2-py-doc:
For full information please refer to the NAG Library document for f06un
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06unf.html
.. _f06un-py2-py-parameters:
**Parameters**
**norm** : str, length 1
Specifies the value to be returned.
:math:`\mathrm{norm} = \texttt{'1'}` or :math:`\texttt{'O'}`
The :math:`1`-norm.
:math:`\mathrm{norm} = \texttt{'I'}`
The :math:`\infty`-norm.
:math:`\mathrm{norm} = \texttt{'F'}` or :math:`\texttt{'E'}`
The Frobenius (or Euclidean) norm.
:math:`\mathrm{norm} = \texttt{'M'}`
The value :math:`\mathrm{max}_{{i,j}}\left(\left\lvert a_{{ij}}\right\rvert \right)` (not a norm).
**dl** : complex, array-like, shape :math:`\left(n-1\right)`
The (:math:`n-1`) subdiagonal elements of :math:`A`.
**d** : complex, array-like, shape :math:`\left(n\right)`
The :math:`n` diagonal elements of :math:`A`.
**du** : complex, array-like, shape :math:`\left(n-1\right)`
The (:math:`n-1`) superdiagonal elements of :math:`A`.
**Returns**
**nrm** : float
The value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of the complex :math:`n\times n` tridiagonal matrix :math:`A`.
.. _f06un-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{norm}`.
Constraint: :math:`\mathrm{norm} = \texttt{'1'}`, :math:`\texttt{'O'}`, :math:`\texttt{'I'}`, :math:`\texttt{'F'}`, :math:`\texttt{'E'}` or :math:`\texttt{'M'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06un-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def zlanht(norm, d, e):
r"""
``zlanht`` returns the value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of a complex :math:`n\times n` Hermitian tridiagonal matrix :math:`A`.
.. _f06up-py2-py-doc:
For full information please refer to the NAG Library document for f06up
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06upf.html
.. _f06up-py2-py-parameters:
**Parameters**
**norm** : str, length 1
Specifies the value to be returned.
:math:`\mathrm{norm} = \texttt{'1'}` or :math:`\texttt{'O'}`
The :math:`1`-norm.
:math:`\mathrm{norm} = \texttt{'I'}`
The :math:`\infty`-norm.
:math:`\mathrm{norm} = \texttt{'F'}` or :math:`\texttt{'E'}`
The Frobenius (or Euclidean) norm.
:math:`\mathrm{norm} = \texttt{'M'}`
The value :math:`\mathrm{max}_{{i,j}}\left(\left\lvert a_{{ij}}\right\rvert \right)` (not a norm).
**d** : float, array-like, shape :math:`\left(n\right)`
The :math:`n` diagonal elements of the tridiagonal matrix :math:`A`.
**e** : complex, array-like, shape :math:`\left(n-1\right)`
The (:math:`n-1`) subdiagonal or superdiagonal elements of the tridiagonal matrix :math:`A`.
**Returns**
**nrm** : float
The value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of the complex :math:`n\times n` Hermitian tridiagonal matrix :math:`A`.
.. _f06up-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{norm}`.
Constraint: :math:`\mathrm{norm} = \texttt{'1'}`, :math:`\texttt{'O'}`, :math:`\texttt{'I'}`, :math:`\texttt{'F'}`, :math:`\texttt{'E'}` or :math:`\texttt{'M'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06up-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
"""
raise NotImplementedError
[docs]def zgeap(side, trans, perm, k, b):
r"""
``zgeap`` permutes the rows or columns of a complex rectangular matrix using an `int` array of permutations.
.. _f06vj-py2-py-doc:
For full information please refer to the NAG Library document for f06vj
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06vjf.html
.. _f06vj-py2-py-parameters:
**Parameters**
**side** : str, length 1
Specifies the operation to be performed.
:math:`\mathrm{side} = \texttt{'L'}` and :math:`\mathrm{trans} = \texttt{'T'}`
:math:`B←P^\mathrm{T}B`.
:math:`\mathrm{side} = \texttt{'L'}` and :math:`\mathrm{trans} = \texttt{'N'}`
:math:`B←PB`.
:math:`\mathrm{side} = \texttt{'R'}` and :math:`\mathrm{trans} = \texttt{'T'}`
:math:`B←BP^\mathrm{T}`.
:math:`\mathrm{side} = \texttt{'R'}` and :math:`\mathrm{trans} = \texttt{'N'}`
:math:`B←BP`.
**trans** : str, length 1
Specifies the operation to be performed.
:math:`\mathrm{side} = \texttt{'L'}` and :math:`\mathrm{trans} = \texttt{'T'}`
:math:`B←P^\mathrm{T}B`.
:math:`\mathrm{side} = \texttt{'L'}` and :math:`\mathrm{trans} = \texttt{'N'}`
:math:`B←PB`.
:math:`\mathrm{side} = \texttt{'R'}` and :math:`\mathrm{trans} = \texttt{'T'}`
:math:`B←BP^\mathrm{T}`.
:math:`\mathrm{side} = \texttt{'R'}` and :math:`\mathrm{trans} = \texttt{'N'}`
:math:`B←BP`.
**perm** : int, array-like, shape :math:`\left(n\right)`
The :math:`n` indices :math:`p_i` which define the interchanges in the representation of :math:`P`. It is usual to have :math:`p_i\geq i`, but this is not necessary.
**k** : int
:math:`k`, the number of columns of :math:`B` if :math:`\mathrm{side} = \texttt{'L'}`, or the number of rows of :math:`B` if :math:`\mathrm{side} = \texttt{'R'}`.
**b** : complex, array-like, shape :math:`\left(:, :\right)`
Note: the required extent for this argument in dimension 1 is determined as follows: if :math:`\mathrm{side}=\texttt{'L'}`: :math:`\max\left(n,\textit{m}\right)`; if :math:`\mathrm{side}=\texttt{'R'}`: :math:`\mathrm{k}`; otherwise: :math:`0`.
Note: the required extent for this argument in dimension 2 is determined as follows: if :math:`\mathrm{side}=\texttt{'L'}`: :math:`\mathrm{k}`; if :math:`\mathrm{side}=\texttt{'R'}`: :math:`\max\left(n,\max\left(\mathrm{perm}\right)\right)`; otherwise: :math:`0`.
The original matrix :math:`B`; :math:`B` is :math:`\textit{m}\times k` if :math:`\mathrm{side} = \texttt{'L'}`, or :math:`k\times \textit{m}` if :math:`\mathrm{side} = \texttt{'R'}`.
**Returns**
**b** : complex, ndarray, shape :math:`\left(:, :\right)`
The permuted matrix :math:`B`.
.. _f06vj-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{side} = \texttt{'L'}` or :math:`\texttt{'R'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{trans} = \texttt{'N'}` or :math:`\texttt{'T'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{perm}`.
Constraint: :math:`1\leq \mathrm{perm}[i-1]\leq \textit{m}`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\mathrm{k}`.
Constraint: :math:`\mathrm{k}\geq 0`.
.. _f06vj-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zgeap`` performs one of the permutation operations
.. math::
\begin{array}{ll}B←P^\mathrm{T}B\text{,}&B←PB\text{,}\\B←BP^\mathrm{T}\quad \text{ or}&B←BP\text{,}\end{array}
where :math:`B` is a complex matrix, and :math:`P` is a permutation matrix.
:math:`P` is represented in the form
.. math::
P = P_{{1,p_1}}P_{{2,p_2}} \cdots P_{{n,p_n}}\text{,}
where :math:`P_{{i,j}}` is the permutation matrix that interchanges items :math:`i` and :math:`j`; that is, :math:`P_{{i,j}}` is the unit matrix with rows and columns :math:`i` and :math:`j` interchanged.
If :math:`i = j`, :math:`P_{{i,j}} = I`.
Let :math:`\textit{m}` denote the number of rows of :math:`B` if :math:`\mathrm{side} = \texttt{'L'}`, or the number of columns of :math:`B` if :math:`\mathrm{side} = \texttt{'R'}`: the function does not require :math:`\textit{m}` to be passed as an argument, but assumes that :math:`\textit{m}\geq p_{\textit{i}}`, for :math:`\textit{i} = 1,2,\ldots,n`.
This function requires the indices :math:`p_i` to be supplied in an `int` array; :meth:`zgeapr` performs the same operation with the indices supplied in a `float` array.
"""
raise NotImplementedError
[docs]def zgeapr(side, trans, perm, k, b):
r"""
``zgeapr`` permutes the rows or columns of a complex rectangular matrix using a `float` array of permutations.
.. _f06vk-py2-py-doc:
For full information please refer to the NAG Library document for f06vk
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06vkf.html
.. _f06vk-py2-py-parameters:
**Parameters**
**side** : str, length 1
Specifies the operation to be performed.
:math:`\mathrm{side} = \texttt{'L'}` and :math:`\mathrm{trans} = \texttt{'T'}`
:math:`B←P^\mathrm{T}B`.
:math:`\mathrm{side} = \texttt{'L'}` and :math:`\mathrm{trans} = \texttt{'N'}`
:math:`B←PB`.
:math:`\mathrm{side} = \texttt{'R'}` and :math:`\mathrm{trans} = \texttt{'T'}`
:math:`B←BP^\mathrm{T}`.
:math:`\mathrm{side} = \texttt{'R'}` and :math:`\mathrm{trans} = \texttt{'N'}`
:math:`B←BP`.
**trans** : str, length 1
Specifies the operation to be performed.
:math:`\mathrm{side} = \texttt{'L'}` and :math:`\mathrm{trans} = \texttt{'T'}`
:math:`B←P^\mathrm{T}B`.
:math:`\mathrm{side} = \texttt{'L'}` and :math:`\mathrm{trans} = \texttt{'N'}`
:math:`B←PB`.
:math:`\mathrm{side} = \texttt{'R'}` and :math:`\mathrm{trans} = \texttt{'T'}`
:math:`B←BP^\mathrm{T}`.
:math:`\mathrm{side} = \texttt{'R'}` and :math:`\mathrm{trans} = \texttt{'N'}`
:math:`B←BP`.
**perm** : float, array-like, shape :math:`\left(n\right)`
The :math:`n` indices :math:`p_i` which define the interchanges in the representation of :math:`P`. It is usual to have :math:`p_i\geq i`, but this is not necessary.
**k** : int
:math:`k`, the number of columns of :math:`B` if :math:`\mathrm{side} = \texttt{'L'}`, or the number of rows of :math:`B` if :math:`\mathrm{side} = \texttt{'R'}`.
**b** : complex, array-like, shape :math:`\left(:, :\right)`
Note: the required extent for this argument in dimension 1 is determined as follows: if :math:`\mathrm{side}=\texttt{'L'}`: :math:`\max\left(n,\textit{m}\right)`; if :math:`\mathrm{side}=\texttt{'R'}`: :math:`\mathrm{k}`; otherwise: :math:`0`.
Note: the required extent for this argument in dimension 2 is determined as follows: if :math:`\mathrm{side}=\texttt{'L'}`: :math:`\mathrm{k}`; if :math:`\mathrm{side}=\texttt{'R'}`: :math:`\max\left(n,\mathrm{int}\left(\max\left(\mathrm{perm}\right)\right)\right)`; otherwise: :math:`0`.
The original matrix :math:`B`; :math:`B` is :math:`\textit{m}\times k` if :math:`\mathrm{side} = \texttt{'L'}`, or :math:`k\times \textit{m}` if :math:`\mathrm{side} = \texttt{'R'}`.
**Returns**
**b** : complex, ndarray, shape :math:`\left(:, :\right)`
The permuted matrix :math:`B`.
.. _f06vk-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{side} = \texttt{'L'}` or :math:`\texttt{'R'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{trans} = \texttt{'N'}` or :math:`\texttt{'T'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{perm}`.
Constraint: :math:`1\leq \mathrm{perm}[i-1]\leq \textit{m}`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\mathrm{k}`.
Constraint: :math:`\mathrm{k}\geq 0`.
.. _f06vk-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zgeapr`` performs one of the permutation operations
.. math::
\begin{array}{ll}B←P^\mathrm{T}B\text{,}&B←PB\text{,}\\B←BP^\mathrm{T}\quad \text{ or}&B←BP\text{,}\end{array}
where :math:`B` is a complex matrix, and :math:`P` is a permutation matrix.
:math:`P` is represented in the form
.. math::
P = P_{{1,p_1}}P_{{2,p_2}} \cdots P_{{n,p_n}}\text{,}
where :math:`P_{{i,j}}` is the permutation matrix that interchanges items :math:`i` and :math:`j`; that is, :math:`P_{{i,j}}` is the unit matrix with rows and columns :math:`i` and :math:`j` interchanged.
If :math:`i = j`, :math:`P_{{i,j}} = I`.
Let :math:`\textit{m}` denote the number of rows of :math:`B` if :math:`\mathrm{side} = \texttt{'L'}`, or the number of columns of :math:`B` if :math:`\mathrm{side} = \texttt{'R'}`: the function does not require :math:`\textit{m}` to be passed as an argument, but assumes that :math:`\textit{m}\geq p_{\textit{i}}`, for :math:`\textit{i} = 1,2,\ldots,n`.
This function requires the indices :math:`p_i` to be supplied in a `float` array (the function takes the integer part of the array elements); :meth:`zgeap` performs the same operation with the indices supplied in an `int` array.
"""
raise NotImplementedError
[docs]def zsgesr(side, pivot, direct, m, k1, k2, c, s, a):
r"""
``zsgesr`` applies to a complex rectangular matrix a sequence of plane rotations having real cosines and complex sines.
.. _f06vx-py2-py-doc:
For full information please refer to the NAG Library document for f06vx
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06vxf.html
.. _f06vx-py2-py-parameters:
**Parameters**
**side** : str, length 1
Specifies whether :math:`A` is operated on from the left or the right.
:math:`\mathrm{side} = \texttt{'L'}`
:math:`A` is pre-multiplied from the left.
:math:`\mathrm{side} = \texttt{'R'}`
:math:`A` is post-multiplied from the right.
**pivot** : str, length 1
Specifies the plane rotated by :math:`P_k`.
:math:`\mathrm{pivot} = \texttt{'V'}` (variable pivot)
:math:`P_k` rotates the :math:`\left(k, {k+1}\right)` plane.
:math:`\mathrm{pivot} = \texttt{'T'}` (top pivot)
:math:`P_k` rotates the :math:`\left(k_1, {k+1}\right)` plane.
:math:`\mathrm{pivot} = \texttt{'B'}` (bottom pivot)
:math:`P_k` rotates the :math:`\left(k, k_2\right)` plane.
**direct** : str, length 1
Specifies the sequence direction.
:math:`\mathrm{direct} = \texttt{'F'}` (forward sequence)
:math:`P = P_{{k_2-1}} \cdots P_{{k_1+1}}P_{k_1}`.
:math:`\mathrm{direct} = \texttt{'B'}` (backward sequence)
:math:`P = P_{k_1}P_{{k_1+1}} \cdots P_{{k_2-1}}`.
**m** : int
:math:`m`, the number of rows of the matrix :math:`A`.
**k1** : int
The value :math:`k_1`.
**k2** : int
The value :math:`k_2`.
**c** : float, array-like, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{c}[\textit{k}]` must hold :math:`c_{\textit{k}}`, the cosine of the rotation :math:`P_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**s** : float, array-like, shape :math:`\left(\mathrm{k2}-1\right)`
:math:`\mathrm{s}[\textit{k}]` must hold :math:`s_{\textit{k}}`, the sine of the rotation :math:`P_{\textit{k}}`, for :math:`\textit{k} = \textit{k}_1,\ldots,\textit{k}_2-1`.
**a** : complex, array-like, shape :math:`\left(\mathrm{m}, n\right)`
The :math:`m\times n` matrix :math:`A`.
**Returns**
**a** : complex, ndarray, shape :math:`\left(\mathrm{m}, n\right)`
The transformed matrix :math:`A`.
.. _f06vx-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{side}`.
Constraint: :math:`\mathrm{side} = \texttt{'L'}` or :math:`\texttt{'R'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{pivot}`.
Constraint: :math:`\mathrm{pivot} = \texttt{'V'}`, :math:`\texttt{'T'}` or :math:`\texttt{'B'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{direct}`.
Constraint: :math:`\mathrm{direct} = \texttt{'F'}` or :math:`\texttt{'B'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{m}`.
Constraint: :math:`\mathrm{m}\geq 0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06vx-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zsgesr`` performs the transformation
.. math::
A←PA\quad \text{ or }\quad A←AP^\mathrm{H}\text{,}
where :math:`A` is an :math:`m\times n` complex matrix and :math:`P` is a real orthogonal matrix, defined as a sequence of real plane rotations, :math:`P_k`, applied in planes :math:`k_1` to :math:`k_2`.
The :math:`2\times 2` plane rotation part of :math:`P_k` is assumed to have the form
.. math::
\begin{pmatrix}c_k&s_k\\-s_k&c_k\end{pmatrix}
with :math:`c_k` and :math:`s_k` real.
"""
raise NotImplementedError
[docs]def dlansf(norm, transr, uplo, n, a):
r"""
``dlansf`` returns the value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of a real symmetric matrix :math:`A` stored in Rectangular Full Packed (RFP) format.
.. _f06wa-py2-py-doc:
For full information please refer to the NAG Library document for f06wa
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06waf.html
.. _f06wa-py2-py-parameters:
**Parameters**
**norm** : str, length 1
Specifies the value to be returned.
:math:`\mathrm{norm} = \texttt{'1'}` or :math:`\texttt{'O'}`
The :math:`1`-norm.
:math:`\mathrm{norm} = \texttt{'I'}`
The :math:`\infty`-norm.
:math:`\mathrm{norm} = \texttt{'F'}` or :math:`\texttt{'E'}`
The Frobenius (or Euclidean) norm.
:math:`\mathrm{norm} = \texttt{'M'}`
The value :math:`\mathrm{max}_{{i,j}}\left(\left\lvert a_{{ij}}\right\rvert \right)` (not a norm).
**transr** : str, length 1
Specifies whether the RFP representation of :math:`A` is normal or transposed.
:math:`\mathrm{transr} = \texttt{'N'}`
The matrix :math:`A` is stored in normal RFP format.
:math:`\mathrm{transr} = \texttt{'T'}`
The matrix :math:`A` is stored in transposed RFP format.
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**n** : int
:math:`n`, the order of the matrix :math:`A`.
When :math:`\mathrm{n} = 0`, ``dlansf`` returns zero.
**a** : float, array-like, shape :math:`\left(\mathrm{n}\times \left(\mathrm{n}+1\right)/2\right)`
The upper or lower triangular part (as specified by :math:`\mathrm{uplo}`) of the :math:`n\times n` symmetric matrix :math:`A`, in either normal or transposed RFP format (as specified by :math:`\mathrm{transr}`). The storage format is described in detail in `the F07 Introduction <https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f07/f07intro.html#recomm_32a>`__.
**Returns**
**nrm** : float
The :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of the real symmetric matrix :math:`A` stored in Rectangular Full Packed (RFP) format.
.. _f06wa-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{norm}`.
Constraint: :math:`\mathrm{norm} = \texttt{'1'}`, :math:`\texttt{'O'}`, :math:`\texttt{'I'}`, :math:`\texttt{'F'}`, :math:`\texttt{'E'}` or :math:`\texttt{'M'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{transr}`.
Constraint: :math:`\mathrm{transr} = \texttt{'N'}` or :math:`\texttt{'T'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{n}`.
Constraint: :math:`\mathrm{n}\geq 0`.
.. _f06wa-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
Given a real :math:`n\times n` symmetric matrix, :math:`A`, ``dlansf`` calculates one of the values given by
.. rst-class:: nag-rules-none
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------+
|:math:`\left\lVert A\right\rVert_1 = \mathrm{max}_j\left({\sum_{{i = 1}}^n\left\lvert a_{{ij}}\right\rvert }\right)` |(the :math:`1`-norm of :math:`A`), |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------+
|:math:`\left\lVert A\right\rVert_\infty = \mathrm{max}_i\left({\sum_{{j = 1}}^n\left\lvert a_{{ij}}\right\rvert }\right)` |(the :math:`\infty`-norm of :math:`A`), |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------+
|:math:`\left\lVert A\right\rVert_F = \left(\sum_{{i = 1}}^n{\sum_{{j = 1}}^n\left\lvert a_{{ij}}\right\rvert^2}\right)^{{1/2}}`|(the Frobenius norm of :math:`A`), or |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------+
|:math:`\mathrm{max}_{{i,j}}\left(\left\lvert a_{{ij}}\right\rvert \right)` |(the maximum absolute element value of :math:`A`).|
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------+
:math:`A` is stored in compact form using the RFP format. The RFP storage format is described in `the F07 Introduction <https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f07/f07intro.html#recomm_32a>`__.
.. _f06wa-py2-py-references:
**References**
Basic Linear Algebra Subprograms Technical (BLAST) Forum, 2001, `Basic Linear Algebra Subprograms Technical (BLAST) Forum Standard`, University of Tennessee, Knoxville, Tennessee, https://www.netlib.org/blas/blast-forum/blas-report.pdf
Gustavson, F G, Waśniewski, J, Dongarra, J J and Langou, J, 2010, `Rectangular full packed format for Cholesky's algorithm: factorization, solution, and inversion`, ACM Trans. Math. Software (37, 2)
"""
raise NotImplementedError
[docs]def dtfsm(transr, side, uplo, trans, diag, alpha, a, b):
r"""
``dtfsm`` performs one of the matrix-matrix operations
.. math::
\begin{array}{ll} B←\alpha A^{-1}B \text{,} & B←\alpha A^{-\mathrm{T}}B \text{,} \\ B←\alpha BA^{-1} \quad \text{ or} & B←\alpha BA^{-\mathrm{T}} \text{,} \end{array}
where :math:`A` is a real triangular matrix stored in Rectangular Full Packed (RFP) format, :math:`B` is an :math:`m\times n` real matrix, and :math:`\alpha` is a real scalar. :math:`A^{-\mathrm{T}}` denotes :math:`\left(A^\mathrm{T}\right)^{-1}` or equivalently :math:`\left(A^{-1}\right)^\mathrm{T}`.
No test for singularity or near-singularity of :math:`A` is included in this function.
Such tests must be performed before calling this function.
.. _f06wb-py2-py-doc:
For full information please refer to the NAG Library document for f06wb
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06wbf.html
.. _f06wb-py2-py-parameters:
**Parameters**
**transr** : str, length 1
Specifies whether the RFP representation of :math:`A` is normal or transposed.
:math:`\mathrm{transr} = \texttt{'N'}`
The matrix :math:`A` is stored in normal RFP format.
:math:`\mathrm{transr} = \texttt{'T'}`
The matrix :math:`A` is stored in transposed RFP format.
**side** : str, length 1
Specifies whether :math:`B` is operated on from the left or the right, or similarly whether :math:`A` (or its transpose) appears to the left or right of the solution matrix in the linear system to be solved.
:math:`\mathrm{side} = \texttt{'L'}`
:math:`B` is pre-multiplied from the left. The system to be solved has the form :math:`AX = \alpha B` or :math:`A^\mathrm{T}X = \alpha B`.
:math:`\mathrm{side} = \texttt{'R'}`
:math:`B` is post-multiplied from the right. The system to be solved has the form :math:`XA = \alpha B` or :math:`XA^\mathrm{T} = \alpha B`.
**uplo** : str, length 1
Specifies whether :math:`A` is upper or lower triangular.
:math:`\mathrm{uplo} = \texttt{'U'}`
:math:`A` is upper triangular.
:math:`\mathrm{uplo} = \texttt{'L'}`
:math:`A` is lower triangular.
**trans** : str, length 1
Specifies whether the operation involves :math:`A^{-1}` or :math:`A^{-\mathrm{T}}`, i.e., whether or not :math:`A` is transposed in the linear system to be solved.
:math:`\mathrm{trans} = \texttt{'N'}`
The operation involves :math:`A^{-1}`, i.e., :math:`A` is not transposed.
:math:`\mathrm{trans} = \texttt{'T'}`
The operation involves :math:`A^{-\mathrm{T}}`, i.e., :math:`A` is transposed.
**diag** : str, length 1
Specifies whether :math:`A` has nonunit or unit diagonal elements.
:math:`\mathrm{diag} = \texttt{'N'}`
The diagonal elements of :math:`A` are stored explicitly.
:math:`\mathrm{diag} = \texttt{'U'}`
The diagonal elements of :math:`A` are assumed to be :math:`1`, the corresponding elements of :math:`\mathrm{a}` are not referenced.
**alpha** : float
The scalar :math:`\alpha`.
**a** : float, array-like, shape :math:`\left(:\right)`
Note: the required length for this argument is determined as follows: if :math:`\mathrm{side}=\texttt{'L'}`: :math:`{ m \times \left(m+1\right) / 2 }`; if :math:`\mathrm{side}=\texttt{'R'}`: :math:`{ n \times \left(n+1\right) / 2 }`; otherwise: :math:`0`.
:math:`A`, the :math:`m\times m` triangular matrix :math:`A` if :math:`\mathrm{side} = \texttt{'L'}` or the :math:`n\times n` triangular matrix :math:`A` if :math:`\mathrm{side} = \texttt{'R'}`, stored in RFP format (as specified by :math:`\mathrm{transr}`). The storage format is described in detail in `the F07 Introduction <https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f07/f07intro.html#recomm_32a>`__. If :math:`\mathrm{alpha} = 0.0`, :math:`\mathrm{a}` is not referenced.
**b** : float, array-like, shape :math:`\left(m, n\right)`
The :math:`m\times n` matrix :math:`B`.
If :math:`\mathrm{alpha} = 0`, :math:`\mathrm{b}` need not be set.
**Returns**
**b** : float, ndarray, shape :math:`\left(m, n\right)`
The updated matrix :math:`B`, or similarly the solution matrix :math:`X`.
.. _f06wb-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{transr}`.
Constraint: :math:`\mathrm{transr} = \texttt{'N'}` or :math:`\texttt{'T'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{side}`.
Constraint: :math:`\mathrm{side} = \texttt{'L'}` or :math:`\texttt{'R'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{trans} = \texttt{'N'}` or :math:`\texttt{'T'}`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\mathrm{diag}`.
Constraint: :math:`\mathrm{diag} = \texttt{'N'}` or :math:`\texttt{'U'}`.
(`errno` :math:`6`)
On entry, error in parameter :math:`\textit{m}`.
Constraint: :math:`m\geq 0`.
(`errno` :math:`7`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06wb-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dtfsm`` solves (for :math:`X`) a triangular linear system of one of the forms
.. math::
\begin{array}{ll} AX = \alpha B \text{,} & A^\mathrm{T}X = \alpha B \text{,} \\ XA = \alpha B \quad \text{ or} & XA^\mathrm{T} = \alpha B \text{,} \end{array}
where :math:`A` is a real triangular matrix stored in RFP format, :math:`B`, :math:`X` are :math:`m\times n` real matrices, and :math:`\alpha` is a real scalar. The RFP storage format is described in `the F07 Introduction <https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f07/f07intro.html#recomm_32a>`__.
.. _f06wb-py2-py-references:
**References**
Gustavson, F G, Waśniewski, J, Dongarra, J J and Langou, J, 2010, `Rectangular full packed format for Cholesky's algorithm: factorization, solution, and inversion`, ACM Trans. Math. Software (37, 2)
"""
raise NotImplementedError
[docs]def dsfrk(transr, uplo, trans, k, alpha, a, beta, c):
r"""
``dsfrk`` performs one of the symmetric rank-:math:`k` update operations
.. math::
C←\alpha AA^\mathrm{T}+\beta C\quad \text{ or }\quad C←\alpha A^\mathrm{T}A+\beta C\text{,}
where :math:`A` is a real matrix, :math:`C` is an :math:`n\times n` real symmetric matrix stored in Rectangular Full Packed (RFP) format, and :math:`\alpha` and :math:`\beta` are real scalars.
.. _f06wc-py2-py-doc:
For full information please refer to the NAG Library document for f06wc
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06wcf.html
.. _f06wc-py2-py-parameters:
**Parameters**
**transr** : str, length 1
Specifies whether the RFP representation of :math:`C` is normal or transposed.
:math:`\mathrm{transr} = \texttt{'N'}`
The matrix :math:`C` is stored in normal RFP format.
:math:`\mathrm{transr} = \texttt{'T'}`
The matrix :math:`C` is stored in transposed RFP format.
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`C` is stored in RFP format.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`C` is stored in RFP format.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`C` is stored in RFP format.
**trans** : str, length 1
Specifies the operation to be performed.
:math:`\mathrm{trans} = \texttt{'N'}`
:math:`C←\alpha AA^\mathrm{T}+\beta C`.
:math:`\mathrm{trans} = \texttt{'T'}`
:math:`C←\alpha A^\mathrm{T}A+\beta C`.
**k** : int
:math:`k`, the number of columns of :math:`A` if :math:`\mathrm{trans} = \texttt{'N'}`, or the number of rows of :math:`A` if :math:`\mathrm{trans} = \texttt{'T'}`.
**alpha** : float
The scalar :math:`\alpha`.
**a** : float, array-like, shape :math:`\left(:, :\right)`
Note: the required extent for this argument in dimension 1 is determined as follows: if :math:`\mathrm{trans}=\texttt{'N'}`: :math:`n`; if :math:`\mathrm{trans}=\texttt{'T'}`: :math:`\mathrm{k}`; otherwise: :math:`0`.
Note: the required extent for this argument in dimension 2 is determined as follows: if :math:`\mathrm{trans}=\texttt{'N'}`: :math:`\mathrm{k}`; if :math:`\mathrm{trans}=\texttt{'T'}`: :math:`n`; otherwise: :math:`0`.
The matrix :math:`A`; :math:`A` is :math:`n\times k` if :math:`\mathrm{trans} = \texttt{'N'}`, or :math:`k\times n` if :math:`\mathrm{trans} = \texttt{'T'}`. If :math:`\mathrm{alpha} = 0.0`, :math:`\mathrm{a}` is not referenced.
**beta** : float
The scalar :math:`\beta`.
**c** : float, array-like, shape :math:`\left(n\times \left(n+1\right)/2\right)`
The upper or lower triangular part (as specified by :math:`\mathrm{uplo}`) of the :math:`n\times n` symmetric matrix :math:`C`, stored in RFP format (as specified by :math:`\mathrm{transr}`). The storage format is described in detail in `the F07 Introduction <https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f07/f07intro.html#recomm_32a>`__.
**Returns**
**c** : float, ndarray, shape :math:`\left(n\times \left(n+1\right)/2\right)`
The updated matrix :math:`C`, that is its upper or lower triangular part stored in RFP format.
.. _f06wc-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{transr}`.
Constraint: :math:`\mathrm{transr} = \texttt{'N'}` or :math:`\texttt{'T'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{trans} = \texttt{'N'}` or :math:`\texttt{'T'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\mathrm{k}`.
Constraint: :math:`\mathrm{k}\geq 0`.
.. _f06wc-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``dsfrk`` performs one of the symmetric rank-:math:`k` update operations
.. math::
C←\alpha AA^\mathrm{T}+\beta C\quad \text{ or }\quad C←\alpha A^\mathrm{T}A+\beta C\text{,}
where :math:`A` is a real matrix, :math:`C` is an :math:`n\times n` real symmetric matrix stored in Rectangular Full Packed (RFP) format, and :math:`\alpha` and :math:`\beta` are real scalars. The RFP storage format is described in `the F07 Introduction <https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f07/f07intro.html#recomm_32a>`__.
If :math:`n = 0` or if :math:`\beta = 1.0` and either :math:`k = 0` or :math:`\alpha = 0.0` then ``dsfrk`` returns immediately.
If :math:`\beta = 0.0` and either :math:`k = 0` or :math:`\alpha = 0.0` then :math:`C` is set to the zero matrix.
.. _f06wc-py2-py-references:
**References**
Gustavson, F G, Waśniewski, J, Dongarra, J J and Langou, J, 2010, `Rectangular full packed format for Cholesky's algorithm: factorization, solution, and inversion`, ACM Trans. Math. Software (37, 2)
"""
raise NotImplementedError
[docs]def zlanhf(norm, transr, uplo, n, a):
r"""
``zlanhf`` returns the value of the :math:`1`-norm, the :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of a complex Hermitian matrix :math:`A` stored in Rectangular Full Packed (RFP) format.
.. _f06wn-py2-py-doc:
For full information please refer to the NAG Library document for f06wn
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06wnf.html
.. _f06wn-py2-py-parameters:
**Parameters**
**norm** : str, length 1
Specifies the value to be returned.
:math:`\mathrm{norm} = \texttt{'1'}` or :math:`\texttt{'O'}`
The :math:`1`-norm.
:math:`\mathrm{norm} = \texttt{'I'}`
The :math:`\infty`-norm.
:math:`\mathrm{norm} = \texttt{'F'}` or :math:`\texttt{'E'}`
The Frobenius (or Euclidean) norm.
:math:`\mathrm{norm} = \texttt{'M'}`
The value :math:`\mathrm{max}_{{i,j}}\left(\left\lvert a_{{ij}}\right\rvert \right)` (not a norm).
**transr** : str, length 1
Specifies whether the normal RFP representation of :math:`A` or its conjugate transpose is stored.
:math:`\mathrm{transr} = \texttt{'N'}`
The matrix :math:`A` is stored in normal RFP format.
:math:`\mathrm{transr} = \texttt{'C'}`
The conjugate transpose of the RFP representation of the matrix :math:`A` is stored.
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**n** : int
:math:`n`, the order of the matrix :math:`A`.
When :math:`\mathrm{n} = 0`, ``zlanhf`` returns zero.
**a** : complex, array-like, shape :math:`\left(\mathrm{n}\times \left(\mathrm{n}+1\right)/2\right)`
The upper or lower triangular part (as specified by :math:`\mathrm{uplo}`) of the :math:`n\times n` Hermitian matrix :math:`A`, in either normal or transposed RFP format (as specified by :math:`\mathrm{transr}`). The storage format is described in detail in `the F07 Introduction <https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f07/f07intro.html#recomm_32a>`__.
**Returns**
**nrm** : float
The :math:`\infty`-norm, the Frobenius norm, or the maximum absolute value of the elements of the complex Hermitian matrix :math:`A` stored in Rectangular Full Packed (RFP) format.
.. _f06wn-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{norm}`.
Constraint: :math:`\mathrm{norm} = \texttt{'1'}`, :math:`\texttt{'O'}`, :math:`\texttt{'I'}`, :math:`\texttt{'F'}`, :math:`\texttt{'E'}` or :math:`\texttt{'M'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{transr}`.
Constraint: :math:`\mathrm{transr} = \texttt{'N'}` or :math:`\texttt{'C'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{n}`.
Constraint: :math:`\mathrm{n}\geq 0`.
.. _f06wn-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
Given a complex :math:`n\times n` symmetric matrix, :math:`A`, ``zlanhf`` calculates one of the values given by
.. rst-class:: nag-rules-none
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------+
|:math:`\left\lVert A\right\rVert_1 = \mathrm{max}_j\left({\sum_{{i = 1}}^n\left\lvert a_{{ij}}\right\rvert }\right)` |(the :math:`1`-norm of :math:`A`), |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------+
|:math:`\left\lVert A\right\rVert_\infty = \mathrm{max}_i\left({\sum_{{j = 1}}^n\left\lvert a_{{ij}}\right\rvert }\right)` |(the :math:`\infty`-norm of :math:`A`), |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------+
|:math:`\left\lVert A\right\rVert_F = \left(\sum_{{i = 1}}^n{\sum_{{j = 1}}^n\left\lvert a_{{ij}}\right\rvert^2}\right)^{{1/2}}`|(the Frobenius norm of :math:`A`), or |
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------+
|:math:`\mathrm{max}_{{i,j}}\left(\left\lvert a_{{ij}}\right\rvert \right)` |(the maximum absolute element value of :math:`A`).|
+-------------------------------------------------------------------------------------------------------------------------------+--------------------------------------------------+
:math:`A` is stored in compact form using the RFP format. The RFP storage format is described in `the F07 Introduction <https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f07/f07intro.html#recomm_32a>`__.
.. _f06wn-py2-py-references:
**References**
Basic Linear Algebra Subprograms Technical (BLAST) Forum, 2001, `Basic Linear Algebra Subprograms Technical (BLAST) Forum Standard`, University of Tennessee, Knoxville, Tennessee, https://www.netlib.org/blas/blast-forum/blas-report.pdf
Gustavson, F G, Waśniewski, J, Dongarra, J J and Langou, J, 2010, `Rectangular full packed format for Cholesky's algorithm: factorization, solution, and inversion`, ACM Trans. Math. Software (37, 2)
"""
raise NotImplementedError
[docs]def ztfsm(transr, side, uplo, trans, diag, alpha, a, b):
r"""
``ztfsm`` performs one of the matrix-matrix operations
.. math::
\begin{array}{ll} B←\alpha A^{-1}B \text{,} & B←\alpha A^{-\mathrm{H}}B \text{,} \\ B←\alpha BA^{-1} \quad \text{ or} & B←\alpha BA^{-\mathrm{H}} \text{,} \end{array}
where :math:`A` is a complex triangular matrix stored in Rectangular Full Packed (RFP) format, :math:`B` is an :math:`m\times n` complex matrix, and :math:`\alpha` is a complex scalar. :math:`A^{-\mathrm{H}}` denotes :math:`\left(A^\mathrm{H}\right)^{-1}` or equivalently :math:`\left(A^{-1}\right)^\mathrm{H}`.
No test for singularity or near-singularity of :math:`A` is included in this function.
Such tests must be performed before calling this function.
.. _f06wp-py2-py-doc:
For full information please refer to the NAG Library document for f06wp
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06wpf.html
.. _f06wp-py2-py-parameters:
**Parameters**
**transr** : str, length 1
Specifies whether the normal RFP representation of :math:`A` or its conjugate transpose is stored.
:math:`\mathrm{transr} = \texttt{'N'}`
The matrix :math:`A` is stored in normal RFP format.
:math:`\mathrm{transr} = \texttt{'C'}`
The conjugate transpose of the RFP representation of the matrix :math:`A` is stored.
**side** : str, length 1
Specifies whether :math:`B` is operated on from the left or the right, or similarly whether :math:`A` (or its transpose) appears to the left or right of the solution matrix in the linear system to be solved.
:math:`\mathrm{side} = \texttt{'L'}`
:math:`B` is pre-multiplied from the left. The system to be solved has the form :math:`AX = \alpha B` or :math:`A^\mathrm{H}X = \alpha B`.
:math:`\mathrm{side} = \texttt{'R'}`
:math:`B` is post-multiplied from the right. The system to be solved has the form :math:`XA = \alpha B` or :math:`XA^\mathrm{H} = \alpha B`.
**uplo** : str, length 1
Specifies whether :math:`A` is upper or lower triangular.
:math:`\mathrm{uplo} = \texttt{'U'}`
:math:`A` is upper triangular.
:math:`\mathrm{uplo} = \texttt{'L'}`
:math:`A` is lower triangular.
**trans** : str, length 1
Specifies whether the operation involves :math:`A^{-1}` or :math:`A^{-\mathrm{H}}`, i.e., whether or not :math:`A` is transpose conjugated in the linear system to be solved.
:math:`\mathrm{trans} = \texttt{'N'}`
The operation involves :math:`A^{-1}`, i.e., :math:`A` is not transpose conjugated.
:math:`\mathrm{trans} = \texttt{'C'}`
The operation involves :math:`A^{-\mathrm{H}}`, i.e., :math:`A` is transpose conjugated.
**diag** : str, length 1
Specifies whether :math:`A` has nonunit or unit diagonal elements.
:math:`\mathrm{diag} = \texttt{'N'}`
The diagonal elements of :math:`A` are stored explicitly.
:math:`\mathrm{diag} = \texttt{'U'}`
The diagonal elements of :math:`A` are assumed to be :math:`1`, the corresponding elements of :math:`\mathrm{a}` are not referenced.
**alpha** : complex
The scalar :math:`\alpha`.
**a** : complex, array-like, shape :math:`\left(:\right)`
Note: the required length for this argument is determined as follows: if :math:`\mathrm{side}=\texttt{'L'}`: :math:`{ m \times \left(m+1\right) / 2 }`; if :math:`\mathrm{side}=\texttt{'R'}`: :math:`{ n \times \left(n+1\right) / 2 }`; otherwise: :math:`0`.
:math:`A`, the :math:`m\times m` triangular matrix :math:`A` if :math:`\mathrm{side} = \texttt{'L'}` or the :math:`n\times n` triangular matrix :math:`A` if :math:`\mathrm{side} = \texttt{'R'}`, stored in RFP format (as specified by :math:`\mathrm{transr}`). The storage format is described in detail in `the F07 Introduction <https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f07/f07intro.html#recomm_32a>`__. If :math:`\mathrm{alpha} = 0.0`, :math:`\mathrm{a}` is not referenced.
**b** : complex, array-like, shape :math:`\left(m, n\right)`
The :math:`m\times n` matrix :math:`B`.
If :math:`\mathrm{alpha} = 0`, :math:`\mathrm{b}` need not be set.
**Returns**
**b** : complex, ndarray, shape :math:`\left(m, n\right)`
The updated matrix :math:`B`, or similarly the solution matrix :math:`X`.
.. _f06wp-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{transr}`.
Constraint: :math:`\mathrm{transr} = \texttt{'N'}` or :math:`\texttt{'C'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{side}`.
Constraint: :math:`\mathrm{side} = \texttt{'L'}` or :math:`\texttt{'R'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{trans} = \texttt{'N'}` or :math:`\texttt{'C'}`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\mathrm{diag}`.
Constraint: :math:`\mathrm{diag} = \texttt{'N'}` or :math:`\texttt{'U'}`.
(`errno` :math:`6`)
On entry, error in parameter :math:`\textit{m}`.
Constraint: :math:`m\geq 0`.
(`errno` :math:`7`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06wp-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``ztfsm`` solves (for :math:`X`) a triangular linear system of one of the forms
.. math::
\begin{array}{ll} AX = \alpha B \text{,} & A^\mathrm{H}X = \alpha B \text{,} \\ XA = \alpha B \quad \text{ or} & XA^\mathrm{H} = \alpha B \text{,} \end{array}
where :math:`A` is a complex triangular matrix stored in RFP format, :math:`B`, :math:`X` are :math:`m\times n` complex matrices, and :math:`\alpha` is a complex scalar. The RFP storage format is described in `the F07 Introduction <https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f07/f07intro.html#recomm_32a>`__.
.. _f06wp-py2-py-references:
**References**
Gustavson, F G, Waśniewski, J, Dongarra, J J and Langou, J, 2010, `Rectangular full packed format for Cholesky's algorithm: factorization, solution, and inversion`, ACM Trans. Math. Software (37, 2)
"""
raise NotImplementedError
[docs]def zhfrk(transr, uplo, trans, k, alpha, a, beta, c):
r"""
``zhfrk`` performs one of the Hermitian rank-:math:`k` update operations
.. math::
C←\alpha AA^\mathrm{H}+\beta C\quad \text{ or }\quad C←\alpha A^\mathrm{H}A+\beta C\text{,}
where :math:`A` is a complex matrix, :math:`C` is an :math:`n\times n` complex Hermitian matrix stored in Rectangular Full Packed (RFP) format, and :math:`\alpha` and :math:`\beta` are real scalars.
.. _f06wq-py2-py-doc:
For full information please refer to the NAG Library document for f06wq
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06wqf.html
.. _f06wq-py2-py-parameters:
**Parameters**
**transr** : str, length 1
Specifies whether the normal RFP representation of :math:`C` or its conjugate transpose is stored.
:math:`\mathrm{transr} = \texttt{'N'}`
The matrix :math:`C` is stored in normal RFP format.
:math:`\mathrm{transr} = \texttt{'C'}`
The conjugate transpose of the RFP representation of the matrix :math:`C` is stored.
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`C` is stored in RFP format.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`C` is stored in RFP format.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`C` is stored in RFP format.
**trans** : str, length 1
Specifies the operation to be performed.
:math:`\mathrm{trans} = \texttt{'N'}`
:math:`C←\alpha AA^\mathrm{H}+\beta C`.
:math:`\mathrm{trans} = \texttt{'C'}`
:math:`C←\alpha A^\mathrm{H}A+\beta C`.
**k** : int
:math:`k`, the number of columns of :math:`A` if :math:`\mathrm{trans} = \texttt{'N'}`, or the number of rows of :math:`A` if :math:`\mathrm{trans} = \texttt{'C'}`.
**alpha** : float
The scalar :math:`\alpha`.
**a** : complex, array-like, shape :math:`\left(:, :\right)`
Note: the required extent for this argument in dimension 1 is determined as follows: if :math:`\mathrm{trans}=\texttt{'N'}`: :math:`\max\left(1,n\right)`; if :math:`\mathrm{trans}=\texttt{'C'}`: :math:`\max\left(1,\mathrm{k}\right)`; otherwise: :math:`1`.
Note: the required extent for this argument in dimension 2 is determined as follows: if :math:`\mathrm{trans}=\texttt{'N'}`: :math:`\max\left(1,\mathrm{k}\right)`; if :math:`\mathrm{trans}=\texttt{'C'}`: :math:`\max\left(1,n\right)`; otherwise: :math:`1`.
The matrix :math:`A`; :math:`A` is :math:`n\times k` if :math:`\mathrm{trans} = \texttt{'N'}`, or :math:`k\times n` if :math:`\mathrm{trans} = \texttt{'C'}`. If :math:`\mathrm{alpha} = 0.0`, :math:`\mathrm{a}` is not referenced.
**beta** : float
The scalar :math:`\beta`.
**c** : complex, array-like, shape :math:`\left(n\times \left(n+1\right)/2\right)`
The upper or lower triangular part (as specified by :math:`\mathrm{uplo}`) of the :math:`n\times n` Hermitian matrix :math:`C`, stored in RFP format (as specified by :math:`\mathrm{transr}`). The storage format is described in detail in `the F07 Introduction <https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f07/f07intro.html#recomm_32a>`__.
**Returns**
**c** : complex, ndarray, shape :math:`\left(n\times \left(n+1\right)/2\right)`
The updated matrix :math:`C`, that is its upper or lower triangular part stored in RFP format.
.. _f06wq-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{transr}`.
Constraint: :math:`\mathrm{transr} = \texttt{'N'}` or :math:`\texttt{'C'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{trans} = \texttt{'N'}` or :math:`\texttt{'C'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\mathrm{k}`.
Constraint: :math:`\mathrm{k}\geq 0`.
.. _f06wq-py2-py-notes:
**Notes**
`No equivalent traditional C interface for this routine exists in the NAG Library.`
``zhfrk`` performs one of the Hermitian rank-:math:`k` update operations
.. math::
C←\alpha AA^\mathrm{H}+\beta C\quad \text{ or }\quad C←\alpha A^\mathrm{H}A+\beta C\text{,}
where :math:`A` is a complex matrix, :math:`C` is an :math:`n\times n` complex Hermitian matrix stored in Rectangular Full Packed (RFP) format, and :math:`\alpha` and :math:`\beta` are real scalars. The RFP storage format is described in `the F07 Introduction <https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f07/f07intro.html#recomm_32a>`__.
If :math:`n = 0` or if :math:`\beta = 1.0` and either :math:`k = 0` or :math:`\alpha = 0.0` then ``zhfrk`` returns immediately.
If :math:`\beta = 0.0` and either :math:`k = 0` or :math:`\alpha = 0.0` then :math:`C` is set to the zero matrix.
.. _f06wq-py2-py-references:
**References**
Gustavson, F G, Waśniewski, J, Dongarra, J J and Langou, J, 2010, `Rectangular full packed format for Cholesky's algorithm: factorization, solution, and inversion`, ACM Trans. Math. Software (37, 2)
"""
raise NotImplementedError
[docs]def dgemm(transa, transb, alpha, a, b, beta, c=None):
r"""
``dgemm`` performs one of the matrix-matrix operations
.. math::
\begin{array}{ll}C←\alpha AB+\beta C\text{,}&C←\alpha A^\mathrm{T}B+\beta C\text{,}\\C←\alpha AB^\mathrm{T}+\beta C\quad \text{ or}&C←\alpha A^\mathrm{T}B^\mathrm{T}+\beta C\text{,}\end{array}
where :math:`A`, :math:`B` and :math:`C` are real matrices, and :math:`\alpha` and :math:`\beta` are real scalars; :math:`C` is always :math:`m\times n`.
.. _f06ya-py2-py-doc:
For full information please refer to the NAG Library document for f06ya
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06yaf.html
.. _f06ya-py2-py-parameters:
**Parameters**
**transa** : str, length 1
Specifies whether the operation involves :math:`A` or :math:`A^\mathrm{T}`.
:math:`\mathrm{transa} = \texttt{'N'}`
The operation involves :math:`A`.
:math:`\mathrm{transa} = \texttt{'T'}` or :math:`\texttt{'C'}`
The operation involves :math:`A^\mathrm{T}`.
**transb** : str, length 1
Specifies whether the operation involves :math:`B` or :math:`B^\mathrm{T}`.
:math:`\mathrm{transb} = \texttt{'N'}`
The operation involves :math:`B`.
:math:`\mathrm{transb} = \texttt{'T'}` or :math:`\texttt{'C'}`
The operation involves :math:`B^\mathrm{T}`.
**alpha** : float
The scalar :math:`\alpha`.
**a** : float, array-like, shape :math:`\left(:, :\right)`
Note: the required extent for this argument in dimension 1 is determined as follows: if :math:`\mathrm{transa}=\texttt{'N'}`: :math:`m`; if :math:`\mathrm{transa}\text{ in } (\texttt{'T'}, \texttt{'C'})`: :math:`k`; otherwise: :math:`0`.
Note: the required extent for this argument in dimension 2 is determined as follows: if :math:`\mathrm{transa}=\texttt{'N'}`: :math:`k`; if :math:`\mathrm{transa}\text{ in } (\texttt{'T'}, \texttt{'C'})`: :math:`m`; otherwise: :math:`0`.
The matrix :math:`A`; :math:`A` is :math:`m\times k` if :math:`\mathrm{transa} = \texttt{'N'}`, or :math:`k\times m` if :math:`\mathrm{transa} = \texttt{'T'}` or :math:`\texttt{'C'}`.
**b** : float, array-like, shape :math:`\left(:, :\right)`
Note: the required extent for this argument in dimension 1 is determined as follows: if :math:`\mathrm{transb}=\texttt{'N'}`: :math:`k`; if :math:`\mathrm{transb}\text{ in } (\texttt{'T'}, \texttt{'C'})`: :math:`n`; otherwise: :math:`0`.
Note: the required extent for this argument in dimension 2 is determined as follows: if :math:`\mathrm{transb}=\texttt{'N'}`: :math:`n`; if :math:`\mathrm{transb}\text{ in } (\texttt{'T'}, \texttt{'C'})`: :math:`k`; otherwise: :math:`0`.
The matrix :math:`B`; :math:`B` is :math:`k\times n` if :math:`\mathrm{transb} = \texttt{'N'}`, or :math:`n\times k` if :math:`\mathrm{transb} = \texttt{'T'}` or :math:`\texttt{'C'}`.
**beta** : float
The scalar :math:`\beta`.
**c** : None or float, array-like, shape :math:`\left(m, n\right)`, optional
The :math:`m\times n` matrix :math:`C`.
If :math:`\mathrm{beta} = 0.0`, :math:`\mathrm{c}` need not be set.
**Returns**
**c** : float, ndarray, shape :math:`\left(m, n\right)`
The updated matrix :math:`C`.
.. _f06ya-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{transa}`.
Constraint: :math:`\mathrm{transa} = \texttt{'N'}`, :math:`\texttt{'T'}` or :math:`\texttt{'C'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{transb}`.
Constraint: :math:`\mathrm{transb} = \texttt{'N'}`, :math:`\texttt{'T'}` or :math:`\texttt{'C'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{m}`.
Constraint: :math:`m\geq 0`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\textit{k}`.
Constraint: :math:`k\geq 0`.
.. _f06ya-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
"""
raise NotImplementedError
[docs]def dsymm(side, uplo, m, alpha, a, b, beta, c=None):
r"""
``dsymm`` performs one of the matrix-matrix operations
.. math::
C←\alpha AB+\beta C\quad \text{ or }\quad C←\alpha BA+\beta C\text{,}
where :math:`A` is a real symmetric matrix, :math:`B` and :math:`C` are :math:`m\times n` real matrices, and :math:`\alpha` and :math:`\beta` are real scalars.
.. _f06yc-py2-py-doc:
For full information please refer to the NAG Library document for f06yc
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06ycf.html
.. _f06yc-py2-py-parameters:
**Parameters**
**side** : str, length 1
Specifies whether :math:`B` is operated on from the left or the right.
:math:`\mathrm{side} = \texttt{'L'}`
:math:`B` is pre-multiplied from the left.
:math:`\mathrm{side} = \texttt{'R'}`
:math:`B` is post-multiplied from the right.
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**m** : int
:math:`m`, the number of rows of the matrices :math:`B` and :math:`C`; the order of :math:`A` if :math:`\mathrm{side} = \texttt{'L'}`.
**alpha** : float
The scalar :math:`\alpha`.
**a** : float, array-like, shape :math:`\left(:, :\right)`
Note: the required extent for this argument in dimension 1 is determined as follows: if :math:`\mathrm{side}=\texttt{'L'}`: :math:`\mathrm{m}`; if :math:`\mathrm{side}=\texttt{'R'}`: :math:`n`; otherwise: :math:`0`.
Note: the required extent for this argument in dimension 2 is determined as follows: if :math:`\mathrm{side}=\texttt{'L'}`: :math:`\mathrm{m}`; if :math:`\mathrm{side}=\texttt{'R'}`: :math:`n`; otherwise: :math:`0`.
The symmetric matrix :math:`A`; :math:`A` is :math:`m\times m` if :math:`\mathrm{side} = \texttt{'L'}`, or :math:`n\times n` if :math:`\mathrm{side} = \texttt{'R'}`.
**b** : float, array-like, shape :math:`\left(\mathrm{m}, n\right)`
The :math:`m\times n` matrix :math:`B`.
**beta** : float
The scalar :math:`\beta`.
**c** : None or float, array-like, shape :math:`\left(\mathrm{m}, n\right)`, optional
The :math:`m\times n` matrix :math:`C`.
If :math:`\mathrm{beta} = 0.0`, :math:`\mathrm{c}` need not be set.
**Returns**
**c** : float, ndarray, shape :math:`\left(\mathrm{m}, n\right)`
The updated matrix :math:`C`.
.. _f06yc-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{side}`.
Constraint: :math:`\mathrm{side} = \texttt{'L'}` or :math:`\texttt{'R'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{m}`.
Constraint: :math:`\mathrm{m}\geq 0`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06yc-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
"""
raise NotImplementedError
[docs]def dtrmm(side, uplo, transa, diag, m, alpha, a, b):
r"""
``dtrmm`` performs one of the matrix-matrix operations
.. math::
\begin{array}{ll}B←\alpha AB\text{,}&B←\alpha A^\mathrm{T}B\text{,}\\B←\alpha BA\quad \text{ or}&B←\alpha BA^\mathrm{T}\text{,}\end{array}
where :math:`B` is an :math:`m\times n` real matrix, :math:`A` is a real triangular matrix, and :math:`\alpha` is a real scalar.
.. _f06yf-py2-py-doc:
For full information please refer to the NAG Library document for f06yf
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06yff.html
.. _f06yf-py2-py-parameters:
**Parameters**
**side** : str, length 1
Specifies whether :math:`B` is operated on from the left or the right.
:math:`\mathrm{side} = \texttt{'L'}`
:math:`B` is pre-multiplied from the left.
:math:`\mathrm{side} = \texttt{'R'}`
:math:`B` is post-multiplied from the right.
**uplo** : str, length 1
Specifies whether :math:`A` is upper or lower triangular.
:math:`\mathrm{uplo} = \texttt{'U'}`
:math:`A` is upper triangular.
:math:`\mathrm{uplo} = \texttt{'L'}`
:math:`A` is lower triangular.
**transa** : str, length 1
Specifies whether the operation involves :math:`A` or :math:`A^\mathrm{T}`.
:math:`\mathrm{transa} = \texttt{'N'}`
The operation involves :math:`A`.
:math:`\mathrm{transa} = \texttt{'T'}` or :math:`\texttt{'C'}`
The operation involves :math:`A^\mathrm{T}`.
**diag** : str, length 1
Specifies whether :math:`A` has nonunit or unit diagonal elements.
:math:`\mathrm{diag} = \texttt{'N'}`
The diagonal elements are stored explicitly.
:math:`\mathrm{diag} = \texttt{'U'}`
The diagonal elements are assumed to be :math:`1`, and are not referenced.
**m** : int
:math:`m`, the number of rows of the matrix :math:`B`; the order of :math:`A` if :math:`\mathrm{side} = \texttt{'L'}`.
**alpha** : float
The scalar :math:`\alpha`.
**a** : float, array-like, shape :math:`\left(:, :\right)`
Note: the required extent for this argument in dimension 1 is determined as follows: if :math:`\mathrm{side}=\texttt{'L'}`: :math:`\mathrm{m}`; if :math:`\mathrm{side}=\texttt{'R'}`: :math:`n`; otherwise: :math:`0`.
Note: the required extent for this argument in dimension 2 is determined as follows: if :math:`\mathrm{side}=\texttt{'L'}`: :math:`\mathrm{m}`; if :math:`\mathrm{side}=\texttt{'R'}`: :math:`n`; otherwise: :math:`0`.
The triangular matrix :math:`A`; :math:`A` is :math:`m\times m` if :math:`\mathrm{side} = \texttt{'L'}`, or :math:`n\times n` if :math:`\mathrm{side} = \texttt{'R'}`.
**b** : float, array-like, shape :math:`\left(\mathrm{m}, n\right)`
The :math:`m\times n` matrix :math:`B`.
If :math:`\mathrm{alpha} = 0`, :math:`\mathrm{b}` need not be set.
**Returns**
**b** : float, ndarray, shape :math:`\left(\mathrm{m}, n\right)`
The updated matrix :math:`B`.
.. _f06yf-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{side}`.
Constraint: :math:`\mathrm{side} = \texttt{'L'}` or :math:`\texttt{'R'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{transa}`.
Constraint: :math:`\mathrm{transa} = \texttt{'N'}`, :math:`\texttt{'T'}` or :math:`\texttt{'C'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{diag}`.
Constraint: :math:`\mathrm{diag} = \texttt{'N'}` or :math:`\texttt{'U'}`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\mathrm{m}`.
Constraint: :math:`\mathrm{m}\geq 0`.
(`errno` :math:`6`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06yf-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
"""
raise NotImplementedError
[docs]def dtrsm(side, uplo, transa, diag, m, alpha, a, b):
r"""
``dtrsm`` performs one of the matrix-matrix operations
.. math::
\begin{array}{ll}B←\alpha A^{-1}B\text{,}&B←\alpha A^{-\mathrm{T}}B\text{,}\\B←\alpha BA^{-1}\quad \text{ or}&B←\alpha BA^{-\mathrm{T}}\text{,}\end{array}
where :math:`A` is a real triangular matrix, :math:`B` is an :math:`m\times n` real matrix, and :math:`\alpha` is a real scalar. :math:`A^{-\mathrm{T}}` denotes :math:`\left(A^\mathrm{T}\right)^{-1}` or equivalently :math:`\left(A^{-1}\right)^\mathrm{T}`.
No test for singularity or near-singularity of :math:`A` is included in this function.
Such tests must be performed before calling this function.
.. _f06yj-py2-py-doc:
For full information please refer to the NAG Library document for f06yj
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06yjf.html
.. _f06yj-py2-py-parameters:
**Parameters**
**side** : str, length 1
Specifies whether :math:`B` is operated on from the left or the right.
:math:`\mathrm{side} = \texttt{'L'}`
:math:`B` is pre-multiplied from the left.
:math:`\mathrm{side} = \texttt{'R'}`
:math:`B` is post-multiplied from the right.
**uplo** : str, length 1
Specifies whether :math:`A` is upper or lower triangular.
:math:`\mathrm{uplo} = \texttt{'U'}`
:math:`A` is upper triangular.
:math:`\mathrm{uplo} = \texttt{'L'}`
:math:`A` is lower triangular.
**transa** : str, length 1
Specifies whether the operation involves :math:`A^{-1}` or :math:`A^{-\mathrm{T}}`.
:math:`\mathrm{transa} = \texttt{'N'}`
The operation involves :math:`A^{-1}`.
:math:`\mathrm{transa} = \texttt{'T'}` or :math:`\texttt{'C'}`
The operation involves :math:`A^{-\mathrm{T}}`.
**diag** : str, length 1
Specifies whether :math:`A` has nonunit or unit diagonal elements.
:math:`\mathrm{diag} = \texttt{'N'}`
The diagonal elements are stored explicitly.
:math:`\mathrm{diag} = \texttt{'U'}`
The diagonal elements are assumed to be :math:`1`, and are not referenced.
**m** : int
:math:`m`, the number of rows of the matrix :math:`B`; the order of :math:`A` if :math:`\mathrm{side} = \texttt{'L'}`.
**alpha** : float
The scalar :math:`\alpha`.
**a** : float, array-like, shape :math:`\left(:, :\right)`
Note: the required extent for this argument in dimension 1 is determined as follows: if :math:`\mathrm{side}=\texttt{'L'}`: :math:`\mathrm{m}`; if :math:`\mathrm{side}=\texttt{'R'}`: :math:`n`; otherwise: :math:`0`.
Note: the required extent for this argument in dimension 2 is determined as follows: if :math:`\mathrm{side}=\texttt{'L'}`: :math:`\mathrm{m}`; if :math:`\mathrm{side}=\texttt{'R'}`: :math:`n`; otherwise: :math:`0`.
The triangular matrix :math:`A`; :math:`A` is :math:`m\times m` if :math:`\mathrm{side} = \texttt{'L'}`, or :math:`n\times n` if :math:`\mathrm{side} = \texttt{'R'}`.
**b** : float, array-like, shape :math:`\left(\mathrm{m}, n\right)`
The :math:`m\times n` matrix :math:`B`.
If :math:`\mathrm{alpha} = 0`, :math:`\mathrm{b}` need not be set.
**Returns**
**b** : float, ndarray, shape :math:`\left(\mathrm{m}, n\right)`
The updated matrix :math:`B`.
.. _f06yj-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{side}`.
Constraint: :math:`\mathrm{side} = \texttt{'L'}` or :math:`\texttt{'R'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{transa}`.
Constraint: :math:`\mathrm{transa} = \texttt{'N'}`, :math:`\texttt{'T'}` or :math:`\texttt{'C'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{diag}`.
Constraint: :math:`\mathrm{diag} = \texttt{'N'}` or :math:`\texttt{'U'}`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\mathrm{m}`.
Constraint: :math:`\mathrm{m}\geq 0`.
(`errno` :math:`6`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06yj-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
"""
raise NotImplementedError
[docs]def dsyrk(uplo, trans, k, alpha, a, beta, c):
r"""
``dsyrk`` performs one of the symmetric rank-:math:`k` update operations
.. math::
C←\alpha AA^\mathrm{T}+\beta C\quad \text{ or }\quad C←\alpha A^\mathrm{T}A+\beta C\text{,}
where :math:`A` is a real matrix, :math:`C` is an :math:`n\times n` real symmetric matrix, and :math:`\alpha` and :math:`\beta` are real scalars.
.. _f06yp-py2-py-doc:
For full information please refer to the NAG Library document for f06yp
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06ypf.html
.. _f06yp-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`C` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`C` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`C` is stored.
**trans** : str, length 1
Specifies the operation to be performed.
:math:`\mathrm{trans} = \texttt{'N'}`
:math:`C←\alpha AA^\mathrm{T}+\beta C`.
:math:`\mathrm{trans} = \texttt{'T'}` or :math:`\texttt{'C'}`
:math:`C←\alpha A^\mathrm{T}A+\beta C`.
**k** : int
:math:`k`, the number of columns of :math:`A` if :math:`\mathrm{trans} = \texttt{'N'}`, or the number of rows of :math:`A` if :math:`\mathrm{trans} = \texttt{'T'}` or :math:`\texttt{'C'}`.
**alpha** : float
The scalar :math:`\alpha`.
**a** : float, array-like, shape :math:`\left(:, :\right)`
Note: the required extent for this argument in dimension 1 is determined as follows: if :math:`\mathrm{trans}=\texttt{'N'}`: :math:`n`; if :math:`\mathrm{trans}\text{ in } (\texttt{'T'}, \texttt{'C'})`: :math:`\mathrm{k}`; otherwise: :math:`0`.
Note: the required extent for this argument in dimension 2 is determined as follows: if :math:`\mathrm{trans}=\texttt{'N'}`: :math:`\mathrm{k}`; if :math:`\mathrm{trans}\text{ in } (\texttt{'T'}, \texttt{'C'})`: :math:`n`; otherwise: :math:`0`.
The matrix :math:`A`; :math:`A` is :math:`n\times k` if :math:`\mathrm{trans} = \texttt{'N'}`, or :math:`k\times n` if :math:`\mathrm{trans} = \texttt{'T'}` or :math:`\texttt{'C'}`.
**beta** : float
The scalar :math:`\beta`.
**c** : float, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` symmetric matrix :math:`C`.
**Returns**
**c** : float, ndarray, shape :math:`\left(n, n\right)`
The updated matrix :math:`C`.
.. _f06yp-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{trans} = \texttt{'N'}`, :math:`\texttt{'T'}` or :math:`\texttt{'C'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{k}`.
Constraint: :math:`\mathrm{k}\geq 0`.
.. _f06yp-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
"""
raise NotImplementedError
[docs]def dsyr2k(uplo, trans, k, alpha, a, b, beta, c):
r"""
``dsyr2k`` performs one of the symmetric rank-:math:`2k` update operations
.. math::
C←\alpha AB^\mathrm{T}+\alpha BA^\mathrm{T}+\beta C\quad \text{ or }\quad C←\alpha A^\mathrm{T}B+\alpha B^\mathrm{T}A+\beta C\text{,}
where :math:`A` and :math:`B` are real matrices, :math:`C` is an :math:`n\times n` real symmetric matrix, and :math:`\alpha` and :math:`\beta` are real scalars.
.. _f06yr-py2-py-doc:
For full information please refer to the NAG Library document for f06yr
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06yrf.html
.. _f06yr-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`C` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`C` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`C` is stored.
**trans** : str, length 1
Specifies the operation to be performed.
:math:`\mathrm{trans} = \texttt{'N'}`
:math:`C←\alpha AB^\mathrm{T}+\alpha BA^\mathrm{T}+\beta C`.
:math:`\mathrm{trans} = \texttt{'T'}` or :math:`\texttt{'C'}`
:math:`C←\alpha A^\mathrm{T}B+\alpha B^\mathrm{T}A+\beta C`.
**k** : int
:math:`k`, the number of columns of :math:`A` and :math:`B` if :math:`\mathrm{trans} = \texttt{'N'}`, or the number of rows of :math:`A` and :math:`B` if :math:`\mathrm{trans} = \texttt{'T'}` or :math:`\texttt{'C'}`.
**alpha** : float
The scalar :math:`\alpha`.
**a** : float, array-like, shape :math:`\left(:, :\right)`
Note: the required extent for this argument in dimension 1 is determined as follows: if :math:`\mathrm{trans}=\texttt{'N'}`: :math:`n`; if :math:`\mathrm{trans}\text{ in } (\texttt{'T'}, \texttt{'C'})`: :math:`\mathrm{k}`; otherwise: :math:`0`.
Note: the required extent for this argument in dimension 2 is determined as follows: if :math:`\mathrm{trans}=\texttt{'N'}`: :math:`\mathrm{k}`; if :math:`\mathrm{trans}\text{ in } (\texttt{'T'}, \texttt{'C'})`: :math:`n`; otherwise: :math:`0`.
The matrix :math:`A`; :math:`A` is :math:`n\times k` if :math:`\mathrm{trans} = \texttt{'N'}`, or :math:`k\times n` if :math:`\mathrm{trans} = \texttt{'T'}` or :math:`\texttt{'C'}`.
**b** : float, array-like, shape :math:`\left(:, :\right)`
Note: the required extent for this argument in dimension 1 is determined as follows: if :math:`\mathrm{trans}=\texttt{'N'}`: :math:`n`; if :math:`\mathrm{trans}\text{ in } (\texttt{'T'}, \texttt{'C'})`: :math:`\mathrm{k}`; otherwise: :math:`0`.
Note: the required extent for this argument in dimension 2 is determined as follows: if :math:`\mathrm{trans}=\texttt{'N'}`: :math:`\mathrm{k}`; if :math:`\mathrm{trans}\text{ in } (\texttt{'T'}, \texttt{'C'})`: :math:`n`; otherwise: :math:`0`.
The matrix :math:`B`; :math:`B` is :math:`n\times k` if :math:`\mathrm{trans} = \texttt{'N'}`, or :math:`k\times n` if :math:`\mathrm{trans} = \texttt{'T'}` or :math:`\texttt{'C'}`.
**beta** : float
The scalar :math:`\beta`.
**c** : float, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` symmetric matrix :math:`C`.
**Returns**
**c** : float, ndarray, shape :math:`\left(n, n\right)`
The updated matrix :math:`C`.
.. _f06yr-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{trans} = \texttt{'N'}`, :math:`\texttt{'T'}` or :math:`\texttt{'C'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{k}`.
Constraint: :math:`\mathrm{k}\geq 0`.
.. _f06yr-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
"""
raise NotImplementedError
[docs]def zgemm(transa, transb, m, k, alpha, a, b, beta, c=None):
r"""
``zgemm`` performs one of the matrix-matrix operations
.. math::
\begin{array}{lll}C←\alpha AB+\beta C\text{,}&C←\alpha A^\mathrm{T}B+\beta C\text{,}&C←\alpha A^\mathrm{H}B+\beta C\text{,}\\C←\alpha AB^\mathrm{T}+\beta C\text{,}&C←\alpha A^\mathrm{T}B^\mathrm{T}+\beta C\text{,}&C←\alpha A^\mathrm{H}B^\mathrm{T}+\beta C\text{,}\\C←\alpha AB^\mathrm{H}+\beta C\text{,}&C←\alpha A^\mathrm{T}B^\mathrm{H}+\beta C\quad \text{ or}&C←\alpha A^\mathrm{H}B^\mathrm{H}+\beta C\text{,}\end{array}
where :math:`A`, :math:`B` and :math:`C` are complex matrices, and :math:`\alpha` and :math:`\beta` are complex scalars; :math:`C` is always :math:`m\times n`.
.. _f06za-py2-py-doc:
For full information please refer to the NAG Library document for f06za
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06zaf.html
.. _f06za-py2-py-parameters:
**Parameters**
**transa** : str, length 1
Specifies whether the operation involves :math:`A`, :math:`A^\mathrm{T}` or :math:`A^\mathrm{H}`.
:math:`\mathrm{transa} = \texttt{'N'}`
The operation involves :math:`A`.
:math:`\mathrm{transa} = \texttt{'T'}`
The operation involves :math:`A^\mathrm{T}`.
:math:`\mathrm{transa} = \texttt{'C'}`
The operation involves :math:`A^\mathrm{H}`.
**transb** : str, length 1
Specifies whether the operation involves :math:`B`, :math:`B^\mathrm{T}` or :math:`B^\mathrm{H}`.
:math:`\mathrm{transb} = \texttt{'N'}`
The operation involves :math:`B`.
:math:`\mathrm{transb} = \texttt{'T'}`
The operation involves :math:`B^\mathrm{T}`.
:math:`\mathrm{transb} = \texttt{'C'}`
The operation involves :math:`B^\mathrm{H}`.
**m** : int
:math:`m`, the number of rows of the matrix :math:`C`; the number of rows of :math:`A` if :math:`\mathrm{transa} = \texttt{'N'}`, or the number of columns of :math:`A` if :math:`\mathrm{transa} = \texttt{'T'}` or :math:`\texttt{'C'}`.
**k** : int
:math:`k`, the number of columns of :math:`A` if :math:`\mathrm{transa} = \texttt{'N'}`, or the number of rows of :math:`A` if :math:`\mathrm{transa} = \texttt{'T'}` or :math:`\texttt{'C'}`; the number of rows of :math:`B` if :math:`\mathrm{transb} = \texttt{'N'}`, or the number of columns of :math:`B` if :math:`\mathrm{transb} = \texttt{'T'}` or :math:`\texttt{'C'}`.
**alpha** : complex
The scalar :math:`\alpha`.
**a** : complex, array-like, shape :math:`\left(:, :\right)`
Note: the required extent for this argument in dimension 1 is determined as follows: if :math:`\mathrm{transa}=\texttt{'N'}`: :math:`\mathrm{m}`; if :math:`\mathrm{transa}\text{ in } (\texttt{'T'}, \texttt{'C'})`: :math:`\mathrm{k}`; otherwise: :math:`0`.
Note: the required extent for this argument in dimension 2 is determined as follows: if :math:`\mathrm{transa}=\texttt{'N'}`: :math:`\mathrm{k}`; if :math:`\mathrm{transa}\text{ in } (\texttt{'T'}, \texttt{'C'})`: :math:`\mathrm{m}`; otherwise: :math:`0`.
The matrix :math:`A`; :math:`A` is :math:`m\times k` if :math:`\mathrm{transa} = \texttt{'N'}`, or :math:`k\times m` if :math:`\mathrm{transa} = \texttt{'T'}` or :math:`\texttt{'C'}`.
**b** : complex, array-like, shape :math:`\left(:, :\right)`
Note: the required extent for this argument in dimension 1 is determined as follows: if :math:`\mathrm{transb}=\texttt{'N'}`: :math:`\mathrm{k}`; if :math:`\mathrm{transb}\text{ in } (\texttt{'T'}, \texttt{'C'})`: :math:`n`; otherwise: :math:`0`.
Note: the required extent for this argument in dimension 2 is determined as follows: if :math:`\mathrm{transb}=\texttt{'N'}`: :math:`n`; if :math:`\mathrm{transb}\text{ in } (\texttt{'T'}, \texttt{'C'})`: :math:`\mathrm{k}`; otherwise: :math:`0`.
The matrix :math:`B`; :math:`B` is :math:`k\times n` if :math:`\mathrm{transb} = \texttt{'N'}`, or :math:`n\times k` if :math:`\mathrm{transb} = \texttt{'T'}` or :math:`\texttt{'C'}`.
**beta** : complex
The scalar :math:`\beta`.
**c** : None or complex, array-like, shape :math:`\left(\mathrm{m}, n\right)`, optional
The :math:`m\times n` matrix :math:`C`.
If :math:`\mathrm{beta} = 0.0`, :math:`\mathrm{c}` need not be set.
**Returns**
**c** : complex, ndarray, shape :math:`\left(\mathrm{m}, n\right)`
The updated matrix :math:`C`.
.. _f06za-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{transa}`.
Constraint: :math:`\mathrm{transa} = \texttt{'N'}`, :math:`\texttt{'T'}` or :math:`\texttt{'C'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{transb}`.
Constraint: :math:`\mathrm{transb} = \texttt{'N'}`, :math:`\texttt{'T'}` or :math:`\texttt{'C'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{m}`.
Constraint: :math:`\mathrm{m}\geq 0`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\mathrm{k}`.
Constraint: :math:`\mathrm{k}\geq 0`.
.. _f06za-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
"""
raise NotImplementedError
[docs]def zhemm(side, uplo, m, alpha, a, b, beta, c=None):
r"""
``zhemm`` performs one of the matrix-matrix operations
.. math::
C←\alpha AB+\beta C\quad \text{ or }\quad C←\alpha BA+\beta C\text{,}
where :math:`A` is a complex Hermitian matrix, :math:`B` and :math:`C` are :math:`m\times n` complex matrices, and :math:`\alpha` and :math:`\beta` are complex scalars.
.. _f06zc-py2-py-doc:
For full information please refer to the NAG Library document for f06zc
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06zcf.html
.. _f06zc-py2-py-parameters:
**Parameters**
**side** : str, length 1
Specifies whether :math:`B` is operated on from the left or the right.
:math:`\mathrm{side} = \texttt{'L'}`
:math:`B` is pre-multiplied from the left.
:math:`\mathrm{side} = \texttt{'R'}`
:math:`B` is post-multiplied from the right.
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**m** : int
:math:`m`, the number of rows of the matrices :math:`B` and :math:`C`; the order of :math:`A` if :math:`\mathrm{side} = \texttt{'L'}`.
**alpha** : complex
The scalar :math:`\alpha`.
**a** : complex, array-like, shape :math:`\left(:, :\right)`
Note: the required extent for this argument in dimension 1 is determined as follows: if :math:`\mathrm{side}=\texttt{'L'}`: :math:`\mathrm{m}`; if :math:`\mathrm{side}=\texttt{'R'}`: :math:`n`; otherwise: :math:`0`.
Note: the required extent for this argument in dimension 2 is determined as follows: if :math:`\mathrm{side}=\texttt{'L'}`: :math:`\mathrm{m}`; if :math:`\mathrm{side}=\texttt{'R'}`: :math:`n`; otherwise: :math:`0`.
The Hermitian matrix :math:`A`; :math:`A` is :math:`m\times m` if :math:`\mathrm{side} = \texttt{'L'}`, or :math:`n\times n` if :math:`\mathrm{side} = \texttt{'R'}`.
**b** : complex, array-like, shape :math:`\left(\mathrm{m}, n\right)`
The :math:`m\times n` matrix :math:`B`.
**beta** : complex
The scalar :math:`\beta`.
**c** : None or complex, array-like, shape :math:`\left(\mathrm{m}, n\right)`, optional
The :math:`m\times n` matrix :math:`C`.
If :math:`\mathrm{beta} = 0.0`, :math:`\mathrm{c}` need not be set.
**Returns**
**c** : complex, ndarray, shape :math:`\left(\mathrm{m}, n\right)`
The updated matrix :math:`C`.
.. _f06zc-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{side}`.
Constraint: :math:`\mathrm{side} = \texttt{'L'}` or :math:`\texttt{'R'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{m}`.
Constraint: :math:`\mathrm{m}\geq 0`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06zc-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
"""
raise NotImplementedError
[docs]def ztrmm(side, uplo, transa, diag, m, alpha, a, b):
r"""
``ztrmm`` performs one of the matrix-matrix operations
.. math::
\begin{array}{lll}B←\alpha AB\text{,}&B←\alpha A^\mathrm{T}B\text{,}&B←\alpha A^\mathrm{H}B\text{,}\\B←\alpha BA\text{,}&B←\alpha BA^\mathrm{T}\quad \text{ or}&B←\alpha BA^\mathrm{H}\text{,}\end{array}
where :math:`B` is an :math:`m\times n` complex matrix, :math:`A` is a complex triangular matrix, and :math:`\alpha` is a complex scalar.
.. _f06zf-py2-py-doc:
For full information please refer to the NAG Library document for f06zf
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06zff.html
.. _f06zf-py2-py-parameters:
**Parameters**
**side** : str, length 1
Specifies whether :math:`B` is operated on from the left or the right.
:math:`\mathrm{side} = \texttt{'L'}`
:math:`B` is pre-multiplied from the left.
:math:`\mathrm{side} = \texttt{'R'}`
:math:`B` is post-multiplied from the right.
**uplo** : str, length 1
Specifies whether :math:`A` is upper or lower triangular.
:math:`\mathrm{uplo} = \texttt{'U'}`
:math:`A` is upper triangular.
:math:`\mathrm{uplo} = \texttt{'L'}`
:math:`A` is lower triangular.
**transa** : str, length 1
Specifies whether the operation involves :math:`A`, :math:`A^\mathrm{T}` or :math:`A^\mathrm{H}`.
:math:`\mathrm{transa} = \texttt{'N'}`
The operation involves :math:`A`.
:math:`\mathrm{transa} = \texttt{'T'}`
The operation involves :math:`A^\mathrm{T}`.
:math:`\mathrm{transa} = \texttt{'C'}`
The operation involves :math:`A^\mathrm{H}`.
**diag** : str, length 1
Specifies whether :math:`A` has nonunit or unit diagonal elements.
:math:`\mathrm{diag} = \texttt{'N'}`
The diagonal elements are stored explicitly.
:math:`\mathrm{diag} = \texttt{'U'}`
The diagonal elements are assumed to be :math:`1`, and are not referenced.
**m** : int
:math:`m`, the number of rows of the matrix :math:`B`; the order of :math:`A` if :math:`\mathrm{side} = \texttt{'L'}`.
**alpha** : complex
The scalar :math:`\alpha`.
**a** : complex, array-like, shape :math:`\left(:, :\right)`
Note: the required extent for this argument in dimension 1 is determined as follows: if :math:`\mathrm{side}=\texttt{'L'}`: :math:`\mathrm{m}`; if :math:`\mathrm{side}=\texttt{'R'}`: :math:`n`; otherwise: :math:`0`.
Note: the required extent for this argument in dimension 2 is determined as follows: if :math:`\mathrm{side}=\texttt{'L'}`: :math:`\mathrm{m}`; if :math:`\mathrm{side}=\texttt{'R'}`: :math:`n`; otherwise: :math:`0`.
The triangular matrix :math:`A`; :math:`A` is :math:`m\times m` if :math:`\mathrm{side} = \texttt{'L'}`, or :math:`n\times n` if :math:`\mathrm{side} = \texttt{'R'}`.
**b** : complex, array-like, shape :math:`\left(\mathrm{m}, n\right)`
The :math:`m\times n` matrix :math:`B`.
If :math:`\mathrm{alpha} = 0`, :math:`\mathrm{b}` need not be set.
**Returns**
**b** : complex, ndarray, shape :math:`\left(\mathrm{m}, n\right)`
The updated matrix :math:`B`.
.. _f06zf-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{side}`.
Constraint: :math:`\mathrm{side} = \texttt{'L'}` or :math:`\texttt{'R'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{transa}`.
Constraint: :math:`\mathrm{transa} = \texttt{'N'}`, :math:`\texttt{'T'}` or :math:`\texttt{'C'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{diag}`.
Constraint: :math:`\mathrm{diag} = \texttt{'N'}` or :math:`\texttt{'U'}`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\mathrm{m}`.
Constraint: :math:`\mathrm{m}\geq 0`.
(`errno` :math:`6`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06zf-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
"""
raise NotImplementedError
[docs]def ztrsm(side, uplo, transa, diag, m, alpha, a, b):
r"""
``ztrsm`` performs one of the matrix-matrix operations
.. math::
\begin{array}{lll} B←\alpha A^{-1}B \text{,} & B←\alpha A^{-\mathrm{T}}B \text{,} & B←\alpha A^{-\mathrm{H}}B \text{,} \\ B←\alpha BA^{-1} \text{,} & B←\alpha BA^{-\mathrm{T}} \quad \text{ or} & B←\alpha BA^{-\mathrm{H}} \text{,} \end{array}
where :math:`A` is a complex triangular matrix, :math:`B` is an :math:`m\times n` complex matrix, and :math:`\alpha` is a complex scalar. :math:`A^{-\mathrm{T}}` denotes :math:`\left(A^\mathrm{T}\right)^{-1}` or equivalently :math:`\left(A^{-1}\right)^\mathrm{T}`; :math:`A^{-\mathrm{H}}` denotes :math:`\left(A^\mathrm{H}\right)^{-1}` or equivalently :math:`\left(A^{-1}\right)^\mathrm{H}`.
No test for singularity or near-singularity of :math:`A` is included in this function.
Such tests must be performed before calling this function.
.. _f06zj-py2-py-doc:
For full information please refer to the NAG Library document for f06zj
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06zjf.html
.. _f06zj-py2-py-parameters:
**Parameters**
**side** : str, length 1
Specifies whether :math:`B` is operated on from the left or the right.
:math:`\mathrm{side} = \texttt{'L'}`
:math:`B` is pre-multiplied from the left.
:math:`\mathrm{side} = \texttt{'R'}`
:math:`B` is post-multiplied from the right.
**uplo** : str, length 1
Specifies whether :math:`A` is upper or lower triangular.
:math:`\mathrm{uplo} = \texttt{'U'}`
:math:`A` is upper triangular.
:math:`\mathrm{uplo} = \texttt{'L'}`
:math:`A` is lower triangular.
**transa** : str, length 1
Specifies whether the operation involves :math:`A^{-1}`, :math:`A^{-\mathrm{T}}` or :math:`A^{-\mathrm{H}}`.
:math:`\mathrm{transa} = \texttt{'N'}`
The operation involves :math:`A^{-1}`.
:math:`\mathrm{transa} = \texttt{'T'}`
The operation involves :math:`A^{-\mathrm{T}}`.
:math:`\mathrm{transa} = \texttt{'C'}`
The operation involves :math:`A^{-\mathrm{H}}`.
**diag** : str, length 1
Specifies whether :math:`A` has nonunit or unit diagonal elements.
:math:`\mathrm{diag} = \texttt{'N'}`
The diagonal elements are stored explicitly.
:math:`\mathrm{diag} = \texttt{'U'}`
The diagonal elements are assumed to be :math:`1`, and are not referenced.
**m** : int
:math:`m`, the number of rows of the matrix :math:`B`; the order of :math:`A` if :math:`\mathrm{side} = \texttt{'L'}`.
**alpha** : complex
The scalar :math:`\alpha`.
**a** : complex, array-like, shape :math:`\left(:, :\right)`
Note: the required extent for this argument in dimension 1 is determined as follows: if :math:`\mathrm{side}=\texttt{'L'}`: :math:`\mathrm{m}`; if :math:`\mathrm{side}=\texttt{'R'}`: :math:`n`; otherwise: :math:`0`.
Note: the required extent for this argument in dimension 2 is determined as follows: if :math:`\mathrm{side}=\texttt{'L'}`: :math:`\mathrm{m}`; if :math:`\mathrm{side}=\texttt{'R'}`: :math:`n`; otherwise: :math:`0`.
The triangular matrix :math:`A`; :math:`A` is :math:`m\times m` if :math:`\mathrm{side} = \texttt{'L'}`, or :math:`n\times n` if :math:`\mathrm{side} = \texttt{'R'}`.
**b** : complex, array-like, shape :math:`\left(\mathrm{m}, n\right)`
The :math:`m\times n` matrix :math:`B`.
If :math:`\mathrm{alpha} = 0`, :math:`\mathrm{b}` need not be set.
**Returns**
**b** : complex, ndarray, shape :math:`\left(\mathrm{m}, n\right)`
The updated matrix :math:`B`.
.. _f06zj-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{side}`.
Constraint: :math:`\mathrm{side} = \texttt{'L'}` or :math:`\texttt{'R'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{transa}`.
Constraint: :math:`\mathrm{transa} = \texttt{'N'}`, :math:`\texttt{'T'}` or :math:`\texttt{'C'}`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{diag}`.
Constraint: :math:`\mathrm{diag} = \texttt{'N'}` or :math:`\texttt{'U'}`.
(`errno` :math:`5`)
On entry, error in parameter :math:`\mathrm{m}`.
Constraint: :math:`\mathrm{m}\geq 0`.
(`errno` :math:`6`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06zj-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
"""
raise NotImplementedError
[docs]def zherk(uplo, trans, k, alpha, a, beta, c):
r"""
``zherk`` performs one of the Hermitian rank-:math:`k` update operations
.. math::
C←\alpha AA^\mathrm{H}+\beta C\quad \text{ or }\quad C←\alpha A^\mathrm{H}A+\beta C
where :math:`A` is a complex matrix, :math:`C` is an :math:`n\times n` complex Hermitian matrix, and :math:`\alpha` and :math:`\beta` are real scalars.
.. _f06zp-py2-py-doc:
For full information please refer to the NAG Library document for f06zp
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06zpf.html
.. _f06zp-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`C` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`C` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`C` is stored.
**trans** : str, length 1
Specifies the operation to be performed.
:math:`\mathrm{trans} = \texttt{'N'}`
:math:`C←\alpha AA^\mathrm{H}+\beta C`.
:math:`\mathrm{trans} = \texttt{'C'}`
:math:`C←\alpha A^\mathrm{H}A+\beta C`.
**k** : int
:math:`k`, the number of columns of :math:`A` if :math:`\mathrm{trans} = \texttt{'N'}`, or the number of rows of :math:`A` if :math:`\mathrm{trans} = \texttt{'C'}`.
**alpha** : float
The scalar :math:`\alpha`.
**a** : complex, array-like, shape :math:`\left(:, :\right)`
Note: the required extent for this argument in dimension 1 is determined as follows: if :math:`\mathrm{trans}=\texttt{'N'}`: :math:`n`; if :math:`\mathrm{trans}=\texttt{'C'}`: :math:`\mathrm{k}`; otherwise: :math:`0`.
Note: the required extent for this argument in dimension 2 is determined as follows: if :math:`\mathrm{trans}=\texttt{'N'}`: :math:`\mathrm{k}`; if :math:`\mathrm{trans}=\texttt{'C'}`: :math:`n`; otherwise: :math:`0`.
The matrix :math:`A`; :math:`A` is :math:`n\times k` if :math:`\mathrm{trans} = \texttt{'N'}`, or :math:`k\times n` if :math:`\mathrm{trans} = \texttt{'C'}`.
**beta** : float
The scalar :math:`\beta`.
**c** : complex, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` Hermitian matrix :math:`C`.
**Returns**
**c** : complex, ndarray, shape :math:`\left(n, n\right)`
The updated matrix :math:`C`. The imaginary parts of the diagonal elements are set to zero.
.. _f06zp-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{trans} = \texttt{'N'}` or :math:`\texttt{'C'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{k}`.
Constraint: :math:`\mathrm{k}\geq 0`.
.. _f06zp-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
"""
raise NotImplementedError
[docs]def zher2k(uplo, trans, k, alpha, a, b, beta, c):
r"""
``zher2k`` performs one of the Hermitian rank-:math:`2k` update operations
.. math::
C←\alpha AB^\mathrm{H}+\bar{\alpha }BA^\mathrm{H}+\beta C\quad \text{ or }\quad C←\alpha A^\mathrm{H}B+\bar{\alpha }B^\mathrm{H}A+\beta C\text{,}
where :math:`A` and :math:`B` are complex matrices, :math:`C` is an :math:`n\times n` complex Hermitian matrix, :math:`\alpha` is a complex scalar, and :math:`\beta` is a real scalar.
.. _f06zr-py2-py-doc:
For full information please refer to the NAG Library document for f06zr
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06zrf.html
.. _f06zr-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`C` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`C` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`C` is stored.
**trans** : str, length 1
Specifies the operation to be performed.
:math:`\mathrm{trans} = \texttt{'N'}`
:math:`C←\alpha AB^\mathrm{H}+\bar{\alpha }BA^\mathrm{H}+\beta C`.
:math:`\mathrm{trans} = \texttt{'C'}`
:math:`C←\alpha A^\mathrm{H}B+\bar{\alpha }B^\mathrm{H}A+\beta C`.
**k** : int
:math:`k`, the number of columns of :math:`A` if :math:`\mathrm{trans} = \texttt{'N'}`, or the number of rows of :math:`A` if :math:`\mathrm{trans} = \texttt{'C'}`.
**alpha** : complex
The scalar :math:`\alpha`.
**a** : complex, array-like, shape :math:`\left(:, :\right)`
Note: the required extent for this argument in dimension 1 is determined as follows: if :math:`\mathrm{trans}=\texttt{'N'}`: :math:`n`; if :math:`\mathrm{trans}=\texttt{'C'}`: :math:`\mathrm{k}`; otherwise: :math:`0`.
Note: the required extent for this argument in dimension 2 is determined as follows: if :math:`\mathrm{trans}=\texttt{'N'}`: :math:`\mathrm{k}`; if :math:`\mathrm{trans}=\texttt{'C'}`: :math:`n`; otherwise: :math:`0`.
The matrix :math:`A`; :math:`A` is :math:`n\times k` if :math:`\mathrm{trans} = \texttt{'N'}`, or :math:`k\times n` if :math:`\mathrm{trans} = \texttt{'C'}`.
**b** : complex, array-like, shape :math:`\left(:, :\right)`
Note: the required extent for this argument in dimension 1 is determined as follows: if :math:`\mathrm{trans}=\texttt{'N'}`: :math:`n`; if :math:`\mathrm{trans}=\texttt{'C'}`: :math:`\mathrm{k}`; otherwise: :math:`0`.
Note: the required extent for this argument in dimension 2 is determined as follows: if :math:`\mathrm{trans}=\texttt{'N'}`: :math:`\mathrm{k}`; if :math:`\mathrm{trans}=\texttt{'C'}`: :math:`n`; otherwise: :math:`0`.
The matrix :math:`B`; :math:`B` is :math:`n\times k` if :math:`\mathrm{trans} = \texttt{'N'}`, or :math:`k\times n` if :math:`\mathrm{trans} = \texttt{'C'}`.
**beta** : float
The scalar :math:`\beta`.
**c** : complex, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` Hermitian matrix :math:`C`.
**Returns**
**c** : complex, ndarray, shape :math:`\left(n, n\right)`
The updated matrix :math:`C`. The imaginary parts of the diagonal elements are set to zero.
.. _f06zr-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{trans} = \texttt{'N'}` or :math:`\texttt{'C'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{k}`.
Constraint: :math:`\mathrm{k}\geq 0`.
.. _f06zr-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
"""
raise NotImplementedError
[docs]def zsymm(side, uplo, m, alpha, a, b, beta, c=None):
r"""
``zsymm`` performs one of the matrix-matrix operations
.. math::
C←\alpha AB+\beta C\quad \text{ or }\quad C←\alpha BA+\beta C\text{,}
where :math:`A` is a complex symmetric matrix, :math:`B` and :math:`C` are :math:`m\times n` complex matrices, and :math:`\alpha` and :math:`\beta` are complex scalars.
.. _f06zt-py2-py-doc:
For full information please refer to the NAG Library document for f06zt
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06ztf.html
.. _f06zt-py2-py-parameters:
**Parameters**
**side** : str, length 1
Specifies whether :math:`B` is operated on from the left or the right.
:math:`\mathrm{side} = \texttt{'L'}`
:math:`B` is pre-multiplied from the left.
:math:`\mathrm{side} = \texttt{'R'}`
:math:`B` is post-multiplied from the right.
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`A` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`A` is stored.
**m** : int
:math:`m`, the number of rows of the matrices :math:`B` and :math:`C`; the order of :math:`A` if :math:`\mathrm{side} = \texttt{'L'}`.
**alpha** : complex
The scalar :math:`\alpha`.
**a** : complex, array-like, shape :math:`\left(:, :\right)`
Note: the required extent for this argument in dimension 1 is determined as follows: if :math:`\mathrm{side}=\texttt{'L'}`: :math:`\mathrm{m}`; if :math:`\mathrm{side}=\texttt{'R'}`: :math:`n`; otherwise: :math:`0`.
Note: the required extent for this argument in dimension 2 is determined as follows: if :math:`\mathrm{side}=\texttt{'L'}`: :math:`\mathrm{m}`; if :math:`\mathrm{side}=\texttt{'R'}`: :math:`n`; otherwise: :math:`0`.
The symmetric matrix :math:`A`; :math:`A` is :math:`m\times m` if :math:`\mathrm{side} = \texttt{'L'}`, or :math:`n\times n` if :math:`\mathrm{side} = \texttt{'R'}`.
**b** : complex, array-like, shape :math:`\left(\mathrm{m}, n\right)`
The :math:`m\times n` matrix :math:`B`.
**beta** : complex
The scalar :math:`\beta`.
**c** : None or complex, array-like, shape :math:`\left(\mathrm{m}, n\right)`, optional
The :math:`m\times n` matrix :math:`C`.
If :math:`\mathrm{beta} = 0.0`, :math:`\mathrm{c}` need not be set.
**Returns**
**c** : complex, ndarray, shape :math:`\left(\mathrm{m}, n\right)`
The updated matrix :math:`C`.
.. _f06zt-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{side}`.
Constraint: :math:`\mathrm{side} = \texttt{'L'}` or :math:`\texttt{'R'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\mathrm{m}`.
Constraint: :math:`\mathrm{m}\geq 0`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
.. _f06zt-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
"""
raise NotImplementedError
[docs]def zsyrk(uplo, trans, k, alpha, a, beta, c):
r"""
``zsyrk`` performs one of the symmetric rank-:math:`k` update operations
.. math::
C←\alpha AA^\mathrm{T}+\beta C\quad \text{ or }\quad C←\alpha A^\mathrm{T}A+\beta C\text{,}
where :math:`A` is a complex matrix, :math:`C` is an :math:`n\times n` complex symmetric matrix, and :math:`\alpha` and :math:`\beta` are complex scalars.
.. _f06zu-py2-py-doc:
For full information please refer to the NAG Library document for f06zu
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06zuf.html
.. _f06zu-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`C` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`C` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`C` is stored.
**trans** : str, length 1
Specifies the operation to be performed.
:math:`\mathrm{trans} = \texttt{'N'}`
:math:`C←\alpha AA^\mathrm{T}+\beta C`.
:math:`\mathrm{trans} = \texttt{'T'}`
:math:`C←\alpha A^\mathrm{T}A+\beta C`.
**k** : int
:math:`k`, the number of columns of :math:`A` and :math:`B` if :math:`\mathrm{trans} = \texttt{'N'}`, or the number of rows of :math:`A` and :math:`B` if :math:`\mathrm{trans} = \texttt{'T'}`.
**alpha** : complex
The scalar :math:`\alpha`.
**a** : complex, array-like, shape :math:`\left(:, :\right)`
Note: the required extent for this argument in dimension 1 is determined as follows: if :math:`\mathrm{trans}=\texttt{'N'}`: :math:`n`; if :math:`\mathrm{trans}=\texttt{'T'}`: :math:`\mathrm{k}`; otherwise: :math:`0`.
Note: the required extent for this argument in dimension 2 is determined as follows: if :math:`\mathrm{trans}=\texttt{'N'}`: :math:`\mathrm{k}`; if :math:`\mathrm{trans}=\texttt{'T'}`: :math:`n`; otherwise: :math:`0`.
The matrix :math:`A`; :math:`A` is :math:`n\times k` if :math:`\mathrm{trans} = \texttt{'N'}`, or :math:`k\times n` if :math:`\mathrm{trans} = \texttt{'T'}`.
**beta** : complex
The scalar :math:`\beta`.
**c** : complex, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` symmetric matrix :math:`C`.
**Returns**
**c** : complex, ndarray, shape :math:`\left(n, n\right)`
The updated matrix :math:`C`.
.. _f06zu-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{trans} = \texttt{'N'}` or :math:`\texttt{'T'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{k}`.
Constraint: :math:`\mathrm{k}\geq 0`.
.. _f06zu-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
"""
raise NotImplementedError
[docs]def zsyr2k(uplo, trans, k, alpha, a, b, beta, c):
r"""
``zsyr2k`` performs one of the symmetric rank-:math:`2k` update operations
.. math::
C←\alpha AB^\mathrm{T}+\alpha BA^\mathrm{T}+\beta C\quad \text{ or }\quad C←\alpha A^\mathrm{T}B+\alpha B^\mathrm{T}A+\beta C\text{,}
where :math:`A` and :math:`B` are complex matrices, :math:`C` is an :math:`n\times n` complex symmetric matrix, and :math:`\alpha` and :math:`\beta` are complex scalars.
.. _f06zw-py2-py-doc:
For full information please refer to the NAG Library document for f06zw
https://support.nag.com/numeric/nl/nagdoc_30/flhtml/f06/f06zwf.html
.. _f06zw-py2-py-parameters:
**Parameters**
**uplo** : str, length 1
Specifies whether the upper or lower triangular part of :math:`C` is stored.
:math:`\mathrm{uplo} = \texttt{'U'}`
The upper triangular part of :math:`C` is stored.
:math:`\mathrm{uplo} = \texttt{'L'}`
The lower triangular part of :math:`C` is stored.
**trans** : str, length 1
Specifies the operation to be performed.
:math:`\mathrm{trans} = \texttt{'N'}`
:math:`C←\alpha AB^\mathrm{T}+\alpha BA^\mathrm{T}+\beta C`.
:math:`\mathrm{trans} = \texttt{'T'}`
:math:`C←\alpha A^\mathrm{T}B+\alpha B^\mathrm{T}A+\beta C`.
**k** : int
:math:`k`, the number of columns of :math:`A` and :math:`B` if :math:`\mathrm{trans} = \texttt{'N'}`, or the number of rows of :math:`A` and :math:`B` if :math:`\mathrm{trans} = \texttt{'T'}`.
**alpha** : complex
The scalar :math:`\alpha`.
**a** : complex, array-like, shape :math:`\left(:, :\right)`
Note: the required extent for this argument in dimension 1 is determined as follows: if :math:`\mathrm{trans}=\texttt{'N'}`: :math:`n`; if :math:`\mathrm{trans}=\texttt{'T'}`: :math:`\mathrm{k}`; otherwise: :math:`0`.
Note: the required extent for this argument in dimension 2 is determined as follows: if :math:`\mathrm{trans}=\texttt{'N'}`: :math:`\mathrm{k}`; if :math:`\mathrm{trans}=\texttt{'T'}`: :math:`n`; otherwise: :math:`0`.
The matrix :math:`A`; :math:`A` is :math:`n\times k` if :math:`\mathrm{trans} = \texttt{'N'}`, or :math:`k\times n` if :math:`\mathrm{trans} = \texttt{'T'}`.
**b** : complex, array-like, shape :math:`\left(:, :\right)`
Note: the required extent for this argument in dimension 1 is determined as follows: if :math:`\mathrm{trans}=\texttt{'N'}`: :math:`n`; if :math:`\mathrm{trans}=\texttt{'T'}`: :math:`\mathrm{k}`; otherwise: :math:`0`.
Note: the required extent for this argument in dimension 2 is determined as follows: if :math:`\mathrm{trans}=\texttt{'N'}`: :math:`\mathrm{k}`; if :math:`\mathrm{trans}=\texttt{'T'}`: :math:`n`; otherwise: :math:`0`.
The matrix :math:`B`; :math:`B` is :math:`n\times k` if :math:`\mathrm{trans} = \texttt{'N'}`, or :math:`k\times n` if :math:`\mathrm{trans} = \texttt{'T'}`.
**beta** : complex
The scalar :math:`\beta`.
**c** : complex, array-like, shape :math:`\left(n, n\right)`
The :math:`n\times n` symmetric matrix :math:`C`.
**Returns**
**c** : complex, ndarray, shape :math:`\left(n, n\right)`
The updated matrix :math:`C`.
.. _f06zw-py2-py-errors:
**Raises**
**NagValueError**
(`errno` :math:`1`)
On entry, error in parameter :math:`\mathrm{uplo}`.
Constraint: :math:`\mathrm{uplo} = \texttt{'U'}` or :math:`\texttt{'L'}`.
(`errno` :math:`2`)
On entry, error in parameter :math:`\mathrm{trans}`.
Constraint: :math:`\mathrm{trans} = \texttt{'N'}` or :math:`\texttt{'T'}`.
(`errno` :math:`3`)
On entry, error in parameter :math:`\textit{n}`.
Constraint: :math:`n\geq 0`.
(`errno` :math:`4`)
On entry, error in parameter :math:`\mathrm{k}`.
Constraint: :math:`\mathrm{k}\geq 0`.
.. _f06zw-py2-py-notes:
**Notes**
`In the NAG Library the traditional C interface for this routine uses a different algorithmic base. Please contact NAG if you have any questions about compatibility.`
"""
raise NotImplementedError
