NAG Library Routine Document

f08axf  (zunmlq)

 Contents

    1  Purpose
    7  Accuracy
    10  Example

1
Purpose

f08axf (zunmlq) multiplies an arbitrary complex matrix C by the complex unitary matrix Q from an LQ factorization computed by f08avf (zgelqf).

2
Specification

Fortran Interface
Subroutine f08axf ( side, trans, m, n, k, a, lda, tau, c, ldc, work, lwork, info)
Integer, Intent (In):: m, n, k, lda, ldc, lwork
Integer, Intent (Out):: info
Complex (Kind=nag_wp), Intent (In):: tau(*)
Complex (Kind=nag_wp), Intent (Inout):: a(lda,*), c(ldc,*)
Complex (Kind=nag_wp), Intent (Out):: work(max(1,lwork))
Character (1), Intent (In):: side, trans
C Header Interface
#include nagmk26.h
void  f08axf_ ( const char *side, const char *trans, const Integer *m, const Integer *n, const Integer *k, Complex a[], const Integer *lda, const Complex tau[], Complex c[], const Integer *ldc, Complex work[], const Integer *lwork, Integer *info, const Charlen length_side, const Charlen length_trans)
The routine may be called by its LAPACK name zunmlq.

3
Description

f08axf (zunmlq) is intended to be used after a call to f08avf (zgelqf), which performs an LQ factorization of a complex matrix A. The unitary matrix Q is represented as a product of elementary reflectors.
This routine may be used to form one of the matrix products
QC , QHC , CQ ​ or ​ CQH ,  
overwriting the result on C (which may be any complex rectangular matrix).

4
References

Golub G H and Van Loan C F (1996) Matrix Computations (3rd Edition) Johns Hopkins University Press, Baltimore

5
Arguments

1:     side – Character(1)Input
On entry: indicates how Q or QH is to be applied to C.
side='L'
Q or QH is applied to C from the left.
side='R'
Q or QH is applied to C from the right.
Constraint: side='L' or 'R'.
2:     trans – Character(1)Input
On entry: indicates whether Q or QH is to be applied to C.
trans='N'
Q is applied to C.
trans='C'
QH is applied to C.
Constraint: trans='N' or 'C'.
3:     m – IntegerInput
On entry: m, the number of rows of the matrix C.
Constraint: m0.
4:     n – IntegerInput
On entry: n, the number of columns of the matrix C.
Constraint: n0.
5:     k – IntegerInput
On entry: k, the number of elementary reflectors whose product defines the matrix Q.
Constraints:
  • if side='L', m k 0 ;
  • if side='R', n k 0 .
6:     alda* – Complex (Kind=nag_wp) arrayInput
Note: the second dimension of the array a must be at least max1,m if side='L' and at least max1,n if side='R'.
On entry: details of the vectors which define the elementary reflectors, as returned by f08avf (zgelqf).
7:     lda – IntegerInput
On entry: the first dimension of the array a as declared in the (sub)program from which f08axf (zunmlq) is called.
Constraint: ldamax1,k.
8:     tau* – Complex (Kind=nag_wp) arrayInput
Note: the dimension of the array tau must be at least max1,k.
On entry: further details of the elementary reflectors, as returned by f08avf (zgelqf).
9:     cldc* – Complex (Kind=nag_wp) arrayInput/Output
Note: the second dimension of the array c must be at least max1,n.
On entry: the m by n matrix C.
On exit: c is overwritten by QC or QHC or CQ or CQH as specified by side and trans.
10:   ldc – IntegerInput
On entry: the first dimension of the array c as declared in the (sub)program from which f08axf (zunmlq) is called.
Constraint: ldcmax1,m.
11:   workmax1,lwork – Complex (Kind=nag_wp) arrayWorkspace
On exit: if info=0, the real part of work1 contains the minimum value of lwork required for optimal performance.
12:   lwork – IntegerInput
On entry: the dimension of the array work as declared in the (sub)program from which f08axf (zunmlq) is called.
If lwork=-1, a workspace query is assumed; the routine only calculates the optimal size of the work array, returns this value as the first entry of the work array, and no error message related to lwork is issued.
Suggested value: for optimal performance, lworkn×nb if side='L' and at least m×nb if side='R', where nb is the optimal block size.
Constraints:
  • if side='L', lworkmax1,n or lwork=-1;
  • if side='R', lworkmax1,m or lwork=-1.
13:   info – IntegerOutput
On exit: info=0 unless the routine detects an error (see Section 6).

6
Error Indicators and Warnings

info<0
If info=-i, argument i had an illegal value.
If info=-999, dynamic memory allocation failed.
See Section 3.7 in How to Use the NAG Library and its Documentation for further information.
An explanatory message is output, and execution of the program is terminated.

7
Accuracy

The computed result differs from the exact result by a matrix E such that
E2 = Oε C2 ,  
where ε is the machine precision.

8
Parallelism and Performance

f08axf (zunmlq) makes calls to BLAS and/or LAPACK routines, which may be threaded within the vendor library used by this implementation. Consult the documentation for the vendor library for further information.
Please consult the X06 Chapter Introduction for information on how to control and interrogate the OpenMP environment used within this routine. Please also consult the Users' Note for your implementation for any additional implementation-specific information.

9
Further Comments

The total number of real floating-point operations is approximately 8nk 2m-k  if side='L' and 8mk 2n-k  if side='R'.
The real analogue of this routine is f08akf (dormlq).

10
Example

See Section 10 in f08avf (zgelqf).
© The Numerical Algorithms Group Ltd, Oxford, UK. 2017