sggsvp - compute orthogonal matrices
SUBROUTINE SGGSVP(JOBU, JOBV, JOBQ, M, P, N, A, LDA, B, LDB, TOLA, TOLB, K, L, U, LDU, V, LDV, Q, LDQ, IWORK, TAU, WORK, INFO) CHARACTER*1 JOBU, JOBV, JOBQ INTEGER M, P, N, LDA, LDB, K, L, LDU, LDV, LDQ, INFO INTEGER IWORK(*) REAL TOLA, TOLB REAL A(LDA,*), B(LDB,*), U(LDU,*), V(LDV,*), Q(LDQ,*), TAU(*), WORK(*) SUBROUTINE SGGSVP_64(JOBU, JOBV, JOBQ, M, P, N, A, LDA, B, LDB, TOLA, TOLB, K, L, U, LDU, V, LDV, Q, LDQ, IWORK, TAU, WORK, INFO) CHARACTER*1 JOBU, JOBV, JOBQ INTEGER*8 M, P, N, LDA, LDB, K, L, LDU, LDV, LDQ, INFO INTEGER*8 IWORK(*) REAL TOLA, TOLB REAL A(LDA,*), B(LDB,*), U(LDU,*), V(LDV,*), Q(LDQ,*), TAU(*), WORK(*) F95 INTERFACE SUBROUTINE GGSVP(JOBU, JOBV, JOBQ, M, P, N, A, LDA, B, LDB, TOLA, TOLB, K, L, U, LDU, V, LDV, Q, LDQ, IWORK, TAU, WORK, INFO) CHARACTER(LEN=1) :: JOBU, JOBV, JOBQ INTEGER :: M, P, N, LDA, LDB, K, L, LDU, LDV, LDQ, INFO INTEGER, DIMENSION(:) :: IWORK REAL :: TOLA, TOLB REAL, DIMENSION(:) :: TAU, WORK REAL, DIMENSION(:,:) :: A, B, U, V, Q SUBROUTINE GGSVP_64(JOBU, JOBV, JOBQ, M, P, N, A, LDA, B, LDB, TOLA, TOLB, K, L, U, LDU, V, LDV, Q, LDQ, IWORK, TAU, WORK, INFO) CHARACTER(LEN=1) :: JOBU, JOBV, JOBQ INTEGER(8) :: M, P, N, LDA, LDB, K, L, LDU, LDV, LDQ, INFO INTEGER(8), DIMENSION(:) :: IWORK REAL :: TOLA, TOLB REAL, DIMENSION(:) :: TAU, WORK REAL, DIMENSION(:,:) :: A, B, U, V, Q C INTERFACE #include <sunperf.h> void sggsvp(char jobu, char jobv, char jobq, int m, int p, int n, float *a, int lda, float *b, int ldb, float tola, float tolb, int *k, int *l, float *u, int ldu, float *v, int ldv, float *q, int ldq, int *info); void sggsvp_64(char jobu, char jobv, char jobq, long m, long p, long n, float *a, long lda, float *b, long ldb, float tola, float tolb, long *k, long *l, float *u, long ldu, float *v, long ldv, float *q, long ldq, long *info);
Oracle Solaris Studio Performance Library sggsvp(3P)
NAME
sggsvp - compute orthogonal matrices
SYNOPSIS
SUBROUTINE SGGSVP(JOBU, JOBV, JOBQ, M, P, N, A, LDA, B, LDB, TOLA,
TOLB, K, L, U, LDU, V, LDV, Q, LDQ, IWORK, TAU, WORK, INFO)
CHARACTER*1 JOBU, JOBV, JOBQ
INTEGER M, P, N, LDA, LDB, K, L, LDU, LDV, LDQ, INFO
INTEGER IWORK(*)
REAL TOLA, TOLB
REAL A(LDA,*), B(LDB,*), U(LDU,*), V(LDV,*), Q(LDQ,*), TAU(*), WORK(*)
SUBROUTINE SGGSVP_64(JOBU, JOBV, JOBQ, M, P, N, A, LDA, B, LDB, TOLA,
TOLB, K, L, U, LDU, V, LDV, Q, LDQ, IWORK, TAU, WORK, INFO)
CHARACTER*1 JOBU, JOBV, JOBQ
INTEGER*8 M, P, N, LDA, LDB, K, L, LDU, LDV, LDQ, INFO
INTEGER*8 IWORK(*)
REAL TOLA, TOLB
REAL A(LDA,*), B(LDB,*), U(LDU,*), V(LDV,*), Q(LDQ,*), TAU(*), WORK(*)
F95 INTERFACE
SUBROUTINE GGSVP(JOBU, JOBV, JOBQ, M, P, N, A, LDA, B, LDB,
TOLA, TOLB, K, L, U, LDU, V, LDV, Q, LDQ, IWORK, TAU,
WORK, INFO)
CHARACTER(LEN=1) :: JOBU, JOBV, JOBQ
INTEGER :: M, P, N, LDA, LDB, K, L, LDU, LDV, LDQ, INFO
INTEGER, DIMENSION(:) :: IWORK
REAL :: TOLA, TOLB
REAL, DIMENSION(:) :: TAU, WORK
REAL, DIMENSION(:,:) :: A, B, U, V, Q
SUBROUTINE GGSVP_64(JOBU, JOBV, JOBQ, M, P, N, A, LDA, B,
LDB, TOLA, TOLB, K, L, U, LDU, V, LDV, Q, LDQ, IWORK,
TAU, WORK, INFO)
CHARACTER(LEN=1) :: JOBU, JOBV, JOBQ
INTEGER(8) :: M, P, N, LDA, LDB, K, L, LDU, LDV, LDQ, INFO
INTEGER(8), DIMENSION(:) :: IWORK
REAL :: TOLA, TOLB
REAL, DIMENSION(:) :: TAU, WORK
REAL, DIMENSION(:,:) :: A, B, U, V, Q
C INTERFACE
#include <sunperf.h>
void sggsvp(char jobu, char jobv, char jobq, int m, int p, int n, float
*a, int lda, float *b, int ldb, float tola, float tolb, int
*k, int *l, float *u, int ldu, float *v, int ldv, float *q,
int ldq, int *info);
void sggsvp_64(char jobu, char jobv, char jobq, long m, long p, long n,
float *a, long lda, float *b, long ldb, float tola, float
tolb, long *k, long *l, float *u, long ldu, float *v, long
ldv, float *q, long ldq, long *info);
PURPOSE
sggsvp computes orthogonal matrices U, V and Q such that
L ( 0 0 A23 )
M-K-L ( 0 0 0 )
N-K-L K L
= K ( 0 A12 A13 ) if M-K-L < 0;
M-K ( 0 0 A23 )
N-K-L K L
V'*B*Q = L ( 0 0 B13 )
P-L ( 0 0 0 )
where the K-by-K matrix A12 and L-by-L matrix B13 are nonsingular upper
triangular; A23 is L-by-L upper triangular if M-K-L >= 0, otherwise A23
is (M-K)-by-L upper trapezoidal. K+L = the effective numerical rank of
the (M+P)-by-N matrix (A',B')'. Z' denotes the transpose of Z.
This decomposition is the preprocessing step for computing the General-
ized Singular Value Decomposition (GSVD), see subroutine SGGSVD.
ARGUMENTS
JOBU (input)
= 'U': Orthogonal matrix U is computed;
= 'N': U is not computed.
JOBV (input)
= 'V': Orthogonal matrix V is computed;
= 'N': V is not computed.
JOBQ (input)
= 'Q': Orthogonal matrix Q is computed;
= 'N': Q is not computed.
M (input) The number of rows of the matrix A. M >= 0.
P (input) The number of rows of the matrix B. P >= 0.
N (input) The number of columns of the matrices A and B. N >= 0.
A (input/output)
On entry, the M-by-N matrix A.
On exit, A contains the triangular (or trapezoidal) matrix
described in the Purpose section.
LDA (input)
The leading dimension of the array A.
LDA >= max(1,M).
B (input/output)
On entry, the P-by-N matrix B.
On exit, B contains the triangular matrix described in the
Purpose section.
LDB (input)
The leading dimension of the array B.
LDB >= max(1,P).
TOLA (input)
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 = MAX(M,N)*norm(A)*MACHEPS,
TOLB = MAX(P,N)*norm(B)*MACHEPS.
The size of TOLA and TOLB may affect the size of backward
errors of the decomposition.
TOLB (input)
See the description of TOLA.
K (output)
On exit, K and L specify the dimension of the subblocks
described in Purpose.
K + L = effective numerical rank of (A',B')'.
L (output)
See the description of K.
U (output)
If JOBU = 'U', U contains the orthogonal matrix U.
If JOBU = 'N', U is not referenced.
LDU (input)
The leading dimension of the array U.
LDU >= max(1,M) if JOBU = 'U'; LDU >= 1 otherwise.
V (output)
If JOBV = 'V', V contains the orthogonal matrix V.
If JOBV = 'N', V is not referenced.
LDV (input)
The leading dimension of the array V.
LDV >= max(1,P) if JOBV = 'V'; LDV >= 1 otherwise.
Q (output)
If JOBQ = 'Q', Q contains the orthogonal matrix Q.
If JOBQ = 'N', Q is not referenced.
LDQ (input)
The leading dimension of the array Q.
LDQ >= max(1,N) if JOBQ = 'Q'; LDQ >= 1 otherwise.
IWORK (workspace)
dimension(N)
TAU (workspace)
dimension(N)
WORK (workspace)
dimension(MAX(3*N,M,P))
INFO (output)
= 0: successful exit;
< 0: if INFO = -i, the i-th argument had an illegal value.
FURTHER DETAILS
The subroutine uses LAPACK subroutine SGEQPF for the QR factorization
with column pivoting to detect the effective numerical rank of the a
matrix. It may be replaced by a better rank determination strategy.
7 Nov 2015 sggsvp(3P)