Intel® oneAPI Math Kernel Library Developer Reference - C
Performs preprocessing for a generalized SVD.
lapack_int LAPACKE_sggsvp3 (int matrix_layout, char jobu, char jobv, char jobq, lapack_int m, lapack_int p, lapack_int n, float * a, lapack_int lda, float * b, lapack_int ldb, float tola, float tolb, lapack_int * k, lapack_int * l, float * u, lapack_int ldu, float * v, lapack_int ldv, float * q, lapack_int ldq);
lapack_int LAPACKE_dggsvp3 (int matrix_layout, char jobu, char jobv, char jobq, lapack_int m, lapack_int p, lapack_int n, double * a, lapack_int lda, double * b, lapack_int ldb, double tola, double tolb, lapack_int * k, lapack_int * l, double * u, lapack_int ldu, double * v, lapack_int ldv, double * q, lapack_int ldq);
lapack_int LAPACKE_cggsvp3 (int matrix_layout, char jobu, char jobv, char jobq, lapack_int m, lapack_int p, lapack_int n, lapack_complex_float * a, lapack_int lda, lapack_complex_float * b, lapack_int ldb, float tola, float tolb, lapack_int * k, lapack_int * l, lapack_complex_float * u, lapack_int ldu, lapack_complex_float * v, lapack_int ldv, lapack_complex_float * q, lapack_int ldq);
lapack_int LAPACKE_zggsvp3 (int matrix_layout, char jobu, char jobv, char jobq, lapack_int m, lapack_int p, lapack_int n, lapack_complex_double * a, lapack_int lda, lapack_complex_double * b, lapack_int ldb, double tola, double tolb, lapack_int * k, lapack_int * l, lapack_complex_double * u, lapack_int ldu, lapack_complex_double * v, lapack_int ldv, lapack_complex_double * q, lapack_int ldq);
?ggsvp3 computes orthogonal or unitary matrices U, V, and Q such that
for real flavors:
if m - k - l≥ 0;
if m - k - l< 0;
for complex flavors:
if m - k - l≥ 0;
if m - k-l< 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 (AT,BT)T for real flavors or (AH,BH)H for complex flavors.
This decomposition is the preprocessing step for computing the Generalized Singular Value Decomposition (GSVD), see ?ggsvd3.
Specifies whether matrix storage layout is row major (LAPACK_ROW_MAJOR) or column major (LAPACK_COL_MAJOR).
= 'U': Orthogonal/unitary matrix U is computed;
= 'N': U is not computed.
= 'V': Orthogonal/unitary matrix V is computed;
= 'N': V is not computed.
= 'Q': Orthogonal/unitary matrix Q is computed;
= 'N': Q is not computed.
The number of rows of the matrix A.
m≥ 0.
The number of rows of the matrix B.
p≥ 0.
The number of columns of the matrices A and B.
n≥ 0.
Array, size (lda*n).
On entry, the m-by-n matrix A.
The leading dimension of the array a.
lda≥ max(1,m).
Array, size (ldb*n).
On entry, the p-by-n matrix B.
The leading dimension of the array b.
ldb≥ max(1,p).
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.
The leading dimension of the array u.
ldu≥ max(1,m) if jobu = 'U'; ldu≥ 1 otherwise.
The leading dimension of the array v.
ldv≥ max(1,p) if jobv = 'V'; ldv≥ 1 otherwise.
The leading dimension of the array q.
ldq≥ max(1,n) if jobq = 'Q'; ldq≥ 1 otherwise.
a |
On exit, a contains the triangular (or trapezoidal) matrix described in the Description section. |
b |
On exit, b contains the triangular matrix described in the Description section. |
k, l |
On exit, k and l specify the dimension of the subblocks described in Description section. k + l = effective numerical rank of (AT,BT)T for real flavors or (AH,BH)H for complex flavors. |
u |
Array, size (ldu*m). If jobu = 'U', u contains the orthogonal/unitary matrix U. If jobu = 'N', u is not referenced. |
v |
Array, size (ldv*p). If jobv = 'V', v contains the orthogonal/unitary matrix V. If jobv = 'N', v is not referenced. |
q |
Array, size (ldq*n). If jobq = 'Q', q contains the orthogonal/unitary matrix Q. If jobq = 'N', q is not referenced. |
This function returns a value info.
= 0: successful exit.
< 0: if info = -i, the i-th argument had an illegal value.
The subroutine uses LAPACK subroutine ?geqp3 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.
?ggsvp3 replaces the deprecated subroutine ?ggsvp.