sgghrd - reduce a pair of real matrices (A,B) to generalized upper Hessenberg form using orthogonal transformations, where A is a general matrix and B is upper triangular
SUBROUTINE SGGHRD( COMPQ, COMPZ, N, ILO, IHI, A, LDA, B, LDB, Q, * LDQ, Z, LDZ, INFO) CHARACTER * 1 COMPQ, COMPZ INTEGER N, ILO, IHI, LDA, LDB, LDQ, LDZ, INFO REAL A(LDA,*), B(LDB,*), Q(LDQ,*), Z(LDZ,*)
SUBROUTINE SGGHRD_64( COMPQ, COMPZ, N, ILO, IHI, A, LDA, B, LDB, Q, * LDQ, Z, LDZ, INFO) CHARACTER * 1 COMPQ, COMPZ INTEGER*8 N, ILO, IHI, LDA, LDB, LDQ, LDZ, INFO REAL A(LDA,*), B(LDB,*), Q(LDQ,*), Z(LDZ,*)
SUBROUTINE GGHRD( COMPQ, COMPZ, [N], ILO, IHI, A, [LDA], B, [LDB], * Q, [LDQ], Z, [LDZ], [INFO]) CHARACTER(LEN=1) :: COMPQ, COMPZ INTEGER :: N, ILO, IHI, LDA, LDB, LDQ, LDZ, INFO REAL, DIMENSION(:,:) :: A, B, Q, Z
SUBROUTINE GGHRD_64( COMPQ, COMPZ, [N], ILO, IHI, A, [LDA], B, [LDB], * Q, [LDQ], Z, [LDZ], [INFO]) CHARACTER(LEN=1) :: COMPQ, COMPZ INTEGER(8) :: N, ILO, IHI, LDA, LDB, LDQ, LDZ, INFO REAL, DIMENSION(:,:) :: A, B, Q, Z
#include <sunperf.h>
void sgghrd(char compq, char compz, int n, int ilo, int ihi, float *a, int lda, float *b, int ldb, float *q, int ldq, float *z, int ldz, int *info);
void sgghrd_64(char compq, char compz, long n, long ilo, long ihi, float *a, long lda, float *b, long ldb, float *q, long ldq, float *z, long ldz, long *info);
sgghrd reduces a pair of real matrices (A,B) to generalized upper Hessenberg form using orthogonal transformations, where A is a general matrix and B is upper triangular: Q' * A * Z = H and Q' * B * Z = T, where H is upper Hessenberg, T is upper triangular, and Q and Z are orthogonal, and ' means transpose.
The orthogonal matrices Q and Z are determined as products of Givens rotations. They may either be formed explicitly, or they may be postmultiplied into input matrices Q1 and Z1, so that
1 * A * Z1' = (Q1*Q) * H * (Z1*Z)' 1 * B * Z1' = (Q1*Q) * T * (Z1*Z)'
= 'N': do not compute Q;
= 'I': Q is initialized to the unit matrix, and the orthogonal matrix Q is returned; = 'V': Q must contain an orthogonal matrix Q1 on entry, and the product Q1*Q is returned.
= 'N': do not compute Z;
= 'I': Z is initialized to the unit matrix, and the orthogonal matrix Z is returned; = 'V': Z must contain an orthogonal matrix Z1 on entry, and the product Z1*Z is returned.
If COMPQ ='I': on entry, Q need not be set, and on exit it contains the orthogonal matrix Q, where Q' is the product of the Givens transformations which are applied to A and B on the left. If COMPQ ='V': on entry, Q must contain an orthogonal matrix Q1, and on exit this is overwritten by Q1*Q.
If COMPZ ='I': on entry, Z need not be set, and on exit it contains the orthogonal matrix Z, which is the product of the Givens transformations which are applied to A and B on the right. If COMPZ ='V': on entry, Z must contain an orthogonal matrix Z1, and on exit this is overwritten by Z1*Z.
= 0: successful exit.
< 0: if INFO = -i, the i-th argument had an illegal value.
This routine reduces A to Hessenberg and B to triangular form by an unblocked reduction, as described in _Matrix_Computations_, by Golub and Van Loan (Johns Hopkins Press.)