chetrf
chetrf - compute the factorization of a complex Hermitian matrix A using the Bunch-Kaufman diagonal pivoting method
SUBROUTINE CHETRF( UPLO, N, A, LDA, IPIVOT, WORK, LDWORK, INFO)
CHARACTER * 1 UPLO
COMPLEX A(LDA,*), WORK(*)
INTEGER N, LDA, LDWORK, INFO
INTEGER IPIVOT(*)
SUBROUTINE CHETRF_64( UPLO, N, A, LDA, IPIVOT, WORK, LDWORK, INFO)
CHARACTER * 1 UPLO
COMPLEX A(LDA,*), WORK(*)
INTEGER*8 N, LDA, LDWORK, INFO
INTEGER*8 IPIVOT(*)
SUBROUTINE HETRF( UPLO, [N], A, [LDA], IPIVOT, [WORK], [LDWORK],
* [INFO])
CHARACTER(LEN=1) :: UPLO
COMPLEX, DIMENSION(:) :: WORK
COMPLEX, DIMENSION(:,:) :: A
INTEGER :: N, LDA, LDWORK, INFO
INTEGER, DIMENSION(:) :: IPIVOT
SUBROUTINE HETRF_64( UPLO, [N], A, [LDA], IPIVOT, [WORK], [LDWORK],
* [INFO])
CHARACTER(LEN=1) :: UPLO
COMPLEX, DIMENSION(:) :: WORK
COMPLEX, DIMENSION(:,:) :: A
INTEGER(8) :: N, LDA, LDWORK, INFO
INTEGER(8), DIMENSION(:) :: IPIVOT
#include <sunperf.h>
void chetrf(char uplo, int n, complex *a, int lda, int *ipivot, int *info);
void chetrf_64(char uplo, long n, complex *a, long lda, long *ipivot, long *info);
chetrf computes the factorization of a complex Hermitian matrix A
using the Bunch-Kaufman diagonal pivoting method. The form of the
factorization is
A = U*D*U**H or A = L*D*L**H
where U (or L) is a product of permutation and unit upper (lower)
triangular matrices, and D is Hermitian and block diagonal with
1-by-1 and 2-by-2 diagonal blocks.
This is the blocked version of the algorithm, calling Level 3 BLAS.
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* UPLO (input)
-
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* N (input)
-
The order of the matrix A. N >= 0.
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* A (input/output)
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On entry, the Hermitian 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, the block diagonal matrix D and the multipliers used
to obtain the factor U or L (see below for further details).
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* LDA (input)
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The leading dimension of the array A. LDA >= max(1,N).
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* IPIVOT (output)
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Details of the interchanges and the block structure of D.
If IPIVOT(k) > 0, then rows and columns k and IPIVOT(k) were
interchanged and D(k,k) is a 1-by-1 diagonal block.
If UPLO = 'U' and IPIVOT(k) = IPIVOT(k-1) < 0, then rows and
columns k-1 and -IPIVOT(k) were interchanged and D(k-1:k,k-1:k)
is a 2-by-2 diagonal block. If UPLO = 'L' and IPIVOT(k) =
IPIVOT(k+1) < 0, then rows and columns k+1 and -IPIVOT(k) were
interchanged and D(k:k+1,k:k+1) is a 2-by-2 diagonal block.
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* WORK (workspace)
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On exit, if INFO = 0, WORK(1) returns the optimal LDWORK.
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* LDWORK (input)
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The length of WORK. LDWORK >=1. For best performance
LDWORK >= N*NB, where NB is the block size returned by ILAENV.
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* INFO (output)
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