- SUBROUTINE ZPSTRF(
- UPLO, N, A, LDA, PIV, RANK, TOL, WORK, INFO )
- DOUBLE PRECISION TOL
- INTEGER INFO, LDA, N, RANK
- CHARACTER UPLO
- COMPLEX*16 A( LDA, * )
- DOUBLE PRECISION WORK( 2*N )
- INTEGER PIV( N )
PURPOSEZPSTRF computes the Cholesky factorization with complete pivoting of a complex Hermitian positive semidefinite matrix A. The factorization has the form
P' * A * P = U' * U , if UPLO = 'U',
P' * A * P = L * L', if UPLO = 'L',
where U is an upper triangular matrix and L is lower triangular, and P is stored as vector PIV.
This algorithm does not attempt to check that A is positive semidefinite. This version of the algorithm calls level 3 BLAS.
- UPLO (input) CHARACTER*1
Specifies whether the upper or lower triangular part of the
symmetric matrix A is stored.
= 'U': Upper triangular
= 'L': Lower triangular
- N (input) INTEGER
- The order of the matrix A. N >= 0.
- A (input/output) COMPLEX*16 array, dimension (LDA,N)
- On entry, the symmetric matrix A. If UPLO = 'U', the leading n by n upper triangular part of A contains the upper triangular part of the matrix A, and the strictly lower triangular part of A is not referenced. If UPLO = 'L', the leading n by n lower triangular part of A contains the lower triangular part of the matrix A, and the strictly upper triangular part of A is not referenced. On exit, if INFO = 0, the factor U or L from the Cholesky factorization as above.
- PIV (output) INTEGER array, dimension (N)
- PIV is such that the nonzero entries are P( PIV(K), K ) = 1.
- RANK (output) INTEGER
- The rank of A given by the number of steps the algorithm completed.
- TOL (input) DOUBLE PRECISION
- User defined tolerance. If TOL < 0, then N*U*MAX( A(K,K) ) will be used. The algorithm terminates at the (K-1)st step if the pivot <= TOL.
- LDA (input) INTEGER
- The leading dimension of the array A. LDA >= max(1,N).
- WORK DOUBLE PRECISION array, dimension (2*N)
- Work space.
- INFO (output) INTEGER
< 0: If INFO = -K, the K-th argument had an illegal value,
= 0: algorithm completed successfully, and
> 0: the matrix A is either rank deficient with computed rank as returned in RANK, or is indefinite. See Section 7 of LAPACK Working Note #161 for further information.