SUBROUTINE DGGLSE( M, N, P, A, LDA, B, LDB, C, D, X, WORK, LDWORK, * INFO) INTEGER M, N, P, LDA, LDB, LDWORK, INFO DOUBLE PRECISION A(LDA,*), B(LDB,*), C(*), D(*), X(*), WORK(*) SUBROUTINE DGGLSE_64( M, N, P, A, LDA, B, LDB, C, D, X, WORK, * LDWORK, INFO) INTEGER*8 M, N, P, LDA, LDB, LDWORK, INFO DOUBLE PRECISION A(LDA,*), B(LDB,*), C(*), D(*), X(*), WORK(*)
SUBROUTINE GGLSE( [M], [N], [P], A, [LDA], B, [LDB], C, D, X, [WORK], * [LDWORK], [INFO]) INTEGER :: M, N, P, LDA, LDB, LDWORK, INFO REAL(8), DIMENSION(:) :: C, D, X, WORK REAL(8), DIMENSION(:,:) :: A, B SUBROUTINE GGLSE_64( [M], [N], [P], A, [LDA], B, [LDB], C, D, X, * [WORK], [LDWORK], [INFO]) INTEGER(8) :: M, N, P, LDA, LDB, LDWORK, INFO REAL(8), DIMENSION(:) :: C, D, X, WORK REAL(8), DIMENSION(:,:) :: A, B
void dgglse(int m, int n, int p, double *a, int lda, double *b, int ldb, double *c, double *d, double *x, int *info);
void dgglse_64(long m, long n, long p, double *a, long lda, double *b, long ldb, double *c, double *d, double *x, long *info);
minimize || c - A*x ||_2 subject to B*x = d
where A is an M-by-N matrix, B is a P-by-N matrix, c is a given M-vector, and d is a given P-vector. It is assumed that
P <= N <= M+P, and
rank(B) = P and rank( ( A ) ) = N. ( ( B ) )
These conditions ensure that the LSE problem has a unique solution, which is obtained using a GRQ factorization of the matrices B and A.
If LDWORK = -1, then 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 LDWORK is issued by XERBLA.