F08 Chapter Contents
F08 Chapter Introduction
NAG Library Manual

# NAG Library Routine DocumentF08VSF (ZGGSVP)

Note:  before using this routine, please read the Users' Note for your implementation to check the interpretation of bold italicised terms and other implementation-dependent details.

## 1  Purpose

F08VSF (ZGGSVP) uses unitary transformations to simultaneously reduce the $m$ by $n$ matrix $A$ and the $p$ by $n$ matrix $B$ to upper triangular form. This factorization is usually used as a preprocessing step for computing the generalized singular value decomposition (GSVD). F08VSF (ZGGSVP) is marked as deprecated by LAPACK; the replacement routine is F08VUF (ZGGSVP3) which makes better use of level 3 BLAS.

## 2  Specification

 SUBROUTINE F08VSF ( JOBU, JOBV, JOBQ, M, P, N, A, LDA, B, LDB, TOLA, TOLB, K, L, U, LDU, V, LDV, Q, LDQ, IWORK, RWORK, TAU, WORK, INFO)
 INTEGER M, P, N, LDA, LDB, K, L, LDU, LDV, LDQ, IWORK(N), INFO REAL (KIND=nag_wp) TOLA, TOLB, RWORK(2*N) COMPLEX (KIND=nag_wp) A(LDA,*), B(LDB,*), U(LDU,*), V(LDV,*), Q(LDQ,*), TAU(N), WORK(max(3*N,M,P)) CHARACTER(1) JOBU, JOBV, JOBQ
The routine may be called by its LAPACK name zggsvp.

## 3  Description

F08VSF (ZGGSVP) computes unitary matrices $U$, $V$ and $Q$ such that
where the $k$ by $k$ matrix ${A}_{12}$ and $l$ by $l$ matrix ${B}_{13}$ are nonsingular upper triangular; ${A}_{23}$ is $l$ by $l$ upper triangular if $m-k-l\ge 0$ and is $\left(m-k\right)$ by $l$ upper trapezoidal otherwise. $\left(k+l\right)$ is the effective numerical rank of the $\left(m+p\right)$ by $n$ matrix ${\left(\begin{array}{cc}{A}^{\mathrm{H}}& {B}^{\mathrm{H}}\end{array}\right)}^{\mathrm{H}}$.
This decomposition is usually used as the preprocessing step for computing the Generalized Singular Value Decomposition (GSVD), see routine F08VNF (ZGGSVD).

## 4  References

Anderson E, Bai Z, Bischof C, Blackford S, Demmel J, Dongarra J J, Du Croz J J, Greenbaum A, Hammarling S, McKenney A and Sorensen D (1999) LAPACK Users' Guide (3rd Edition) SIAM, Philadelphia http://www.netlib.org/lapack/lug
Golub G H and Van Loan C F (1996) Matrix Computations (3rd Edition) Johns Hopkins University Press, Baltimore

## 5  Arguments

1:     $\mathrm{JOBU}$ – CHARACTER(1)Input
On entry: if ${\mathbf{JOBU}}=\text{'U'}$, the unitary matrix $U$ is computed.
If ${\mathbf{JOBU}}=\text{'N'}$, $U$ is not computed.
Constraint: ${\mathbf{JOBU}}=\text{'U'}$ or $\text{'N'}$.
2:     $\mathrm{JOBV}$ – CHARACTER(1)Input
On entry: if ${\mathbf{JOBV}}=\text{'V'}$, the unitary matrix $V$ is computed.
If ${\mathbf{JOBV}}=\text{'N'}$, $V$ is not computed.
Constraint: ${\mathbf{JOBV}}=\text{'V'}$ or $\text{'N'}$.
3:     $\mathrm{JOBQ}$ – CHARACTER(1)Input
On entry: if ${\mathbf{JOBQ}}=\text{'Q'}$, the unitary matrix $Q$ is computed.
If ${\mathbf{JOBQ}}=\text{'N'}$, $Q$ is not computed.
Constraint: ${\mathbf{JOBQ}}=\text{'Q'}$ or $\text{'N'}$.
4:     $\mathrm{M}$ – INTEGERInput
On entry: $m$, the number of rows of the matrix $A$.
Constraint: ${\mathbf{M}}\ge 0$.
5:     $\mathrm{P}$ – INTEGERInput
On entry: $p$, the number of rows of the matrix $B$.
Constraint: ${\mathbf{P}}\ge 0$.
6:     $\mathrm{N}$ – INTEGERInput
On entry: $n$, the number of columns of the matrices $A$ and $B$.
Constraint: ${\mathbf{N}}\ge 0$.
7:     $\mathrm{A}\left({\mathbf{LDA}},*\right)$ – COMPLEX (KIND=nag_wp) arrayInput/Output
Note: the second dimension of the array A must be at least $\mathrm{max}\phantom{\rule{0.125em}{0ex}}\left(1,{\mathbf{N}}\right)$.
On entry: the $m$ by $n$ matrix $A$.
On exit: contains the triangular (or trapezoidal) matrix described in Section 3.
8:     $\mathrm{LDA}$ – INTEGERInput
On entry: the first dimension of the array A as declared in the (sub)program from which F08VSF (ZGGSVP) is called.
Constraint: ${\mathbf{LDA}}\ge \mathrm{max}\phantom{\rule{0.125em}{0ex}}\left(1,{\mathbf{M}}\right)$.
9:     $\mathrm{B}\left({\mathbf{LDB}},*\right)$ – COMPLEX (KIND=nag_wp) arrayInput/Output
Note: the second dimension of the array B must be at least $\mathrm{max}\phantom{\rule{0.125em}{0ex}}\left(1,{\mathbf{N}}\right)$.
On entry: the $p$ by $n$ matrix $B$.
On exit: contains the triangular matrix described in Section 3.
10:   $\mathrm{LDB}$ – INTEGERInput
On entry: the first dimension of the array B as declared in the (sub)program from which F08VSF (ZGGSVP) is called.
Constraint: ${\mathbf{LDB}}\ge \mathrm{max}\phantom{\rule{0.125em}{0ex}}\left(1,{\mathbf{P}}\right)$.
11:   $\mathrm{TOLA}$ – REAL (KIND=nag_wp)Input
12:   $\mathrm{TOLB}$ – REAL (KIND=nag_wp)Input
On entry: TOLA and TOLB are the thresholds to determine the effective numerical rank of matrix $B$ and a subblock of $A$. Generally, they are set to
 $TOLA=maxM,NAε, TOLB=maxP,NBε,$
where $\epsilon$ is the machine precision.
The size of TOLA and TOLB may affect the size of backward errors of the decomposition.
13:   $\mathrm{K}$ – INTEGEROutput
14:   $\mathrm{L}$ – INTEGEROutput
On exit: K and L specify the dimension of the subblocks $k$ and $l$ as described in Section 3; $\left(k+l\right)$ is the effective numerical rank of ${\left(\begin{array}{cc}{{\mathbf{A}}}^{\mathrm{T}}& {{\mathbf{B}}}^{\mathrm{T}}\end{array}\right)}^{\mathrm{T}}$.
15:   $\mathrm{U}\left({\mathbf{LDU}},*\right)$ – COMPLEX (KIND=nag_wp) arrayOutput
Note: the second dimension of the array U must be at least $\mathrm{max}\phantom{\rule{0.125em}{0ex}}\left(1,{\mathbf{M}}\right)$ if ${\mathbf{JOBU}}=\text{'U'}$, and at least $1$ otherwise.
On exit: if ${\mathbf{JOBU}}=\text{'U'}$, U contains the unitary matrix $U$.
If ${\mathbf{JOBU}}=\text{'N'}$, U is not referenced.
16:   $\mathrm{LDU}$ – INTEGERInput
On entry: the first dimension of the array U as declared in the (sub)program from which F08VSF (ZGGSVP) is called.
Constraints:
• if ${\mathbf{JOBU}}=\text{'U'}$, ${\mathbf{LDU}}\ge \mathrm{max}\phantom{\rule{0.125em}{0ex}}\left(1,{\mathbf{M}}\right)$;
• otherwise ${\mathbf{LDU}}\ge 1$.
17:   $\mathrm{V}\left({\mathbf{LDV}},*\right)$ – COMPLEX (KIND=nag_wp) arrayOutput
Note: the second dimension of the array V must be at least $\mathrm{max}\phantom{\rule{0.125em}{0ex}}\left(1,{\mathbf{P}}\right)$ if ${\mathbf{JOBV}}=\text{'V'}$, and at least $1$ otherwise.
On exit: if ${\mathbf{JOBV}}=\text{'V'}$, V contains the unitary matrix $V$.
If ${\mathbf{JOBV}}=\text{'N'}$, V is not referenced.
18:   $\mathrm{LDV}$ – INTEGERInput
On entry: the first dimension of the array V as declared in the (sub)program from which F08VSF (ZGGSVP) is called.
Constraints:
• if ${\mathbf{JOBV}}=\text{'V'}$, ${\mathbf{LDV}}\ge \mathrm{max}\phantom{\rule{0.125em}{0ex}}\left(1,{\mathbf{P}}\right)$;
• otherwise ${\mathbf{LDV}}\ge 1$.
19:   $\mathrm{Q}\left({\mathbf{LDQ}},*\right)$ – COMPLEX (KIND=nag_wp) arrayOutput
Note: the second dimension of the array Q must be at least $\mathrm{max}\phantom{\rule{0.125em}{0ex}}\left(1,{\mathbf{N}}\right)$ if ${\mathbf{JOBQ}}=\text{'Q'}$, and at least $1$ otherwise.
On exit: if ${\mathbf{JOBQ}}=\text{'Q'}$, Q contains the unitary matrix $Q$.
If ${\mathbf{JOBQ}}=\text{'N'}$, Q is not referenced.
20:   $\mathrm{LDQ}$ – INTEGERInput
On entry: the first dimension of the array Q as declared in the (sub)program from which F08VSF (ZGGSVP) is called.
Constraints:
• if ${\mathbf{JOBQ}}=\text{'Q'}$, ${\mathbf{LDQ}}\ge \mathrm{max}\phantom{\rule{0.125em}{0ex}}\left(1,{\mathbf{N}}\right)$;
• otherwise ${\mathbf{LDQ}}\ge 1$.
21:   $\mathrm{IWORK}\left({\mathbf{N}}\right)$ – INTEGER arrayWorkspace
22:   $\mathrm{RWORK}\left(2×{\mathbf{N}}\right)$ – REAL (KIND=nag_wp) arrayWorkspace
23:   $\mathrm{TAU}\left({\mathbf{N}}\right)$ – COMPLEX (KIND=nag_wp) arrayWorkspace
24:   $\mathrm{WORK}\left(\mathrm{max}\phantom{\rule{0.125em}{0ex}}\left(3×{\mathbf{N}},{\mathbf{M}},{\mathbf{P}}\right)\right)$ – COMPLEX (KIND=nag_wp) arrayWorkspace
25:   $\mathrm{INFO}$ – INTEGEROutput
On exit: ${\mathbf{INFO}}=0$ unless the routine detects an error (see Section 6).

## 6  Error Indicators and Warnings

${\mathbf{INFO}}<0$
If ${\mathbf{INFO}}=-i$, argument $i$ had an illegal value. An explanatory message is output, and execution of the program is terminated.

## 7  Accuracy

The computed factorization is nearly the exact factorization for nearby matrices $\left(A+E\right)$ and $\left(B+F\right)$, where
 $E2 = OεA2 and F2= OεB2,$
and $\epsilon$ is the machine precision.

## 8  Parallelism and Performance

F08VSF (ZGGSVP) 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.

The real analogue of this routine is F08VEF (DGGSVP).

## 10  Example

This example finds the generalized factorization
 $A = UΣ1 0 S QH , B= VΣ2 0 T QH ,$
of the matrix pair $\left(\begin{array}{cc}A& B\end{array}\right)$, where
 $A = 0.96-0.81i -0.03+0.96i -0.91+2.06i -0.05+0.41i -0.98+1.98i -1.20+0.19i -0.66+0.42i -0.81+0.56i 0.62-0.46i 1.01+0.02i 0.63-0.17i -1.11+0.60i 0.37+0.38i 0.19-0.54i -0.98-0.36i 0.22-0.20i 0.83+0.51i 0.20+0.01i -0.17-0.46i 1.47+1.59i 1.08-0.28i 0.20-0.12i -0.07+1.23i 0.26+0.26i$
and
 $B = 10-10 010-1 .$

### 10.1  Program Text

Program Text (f08vsfe.f90)

### 10.2  Program Data

Program Data (f08vsfe.d)

### 10.3  Program Results

Program Results (f08vsfe.r)