cspcon
cspcon - estimate the reciprocal of the condition number (in the 1-norm) of a complex symmetric packed matrix A using the factorization A = U*D*U**T or A = L*D*L**T computed by CSPTRF
SUBROUTINE CSPCON( UPLO, N, A, IPIVOT, ANORM, RCOND, WORK, INFO)
CHARACTER * 1 UPLO
COMPLEX A(*), WORK(*)
INTEGER N, INFO
INTEGER IPIVOT(*)
REAL ANORM, RCOND
SUBROUTINE CSPCON_64( UPLO, N, A, IPIVOT, ANORM, RCOND, WORK, INFO)
CHARACTER * 1 UPLO
COMPLEX A(*), WORK(*)
INTEGER*8 N, INFO
INTEGER*8 IPIVOT(*)
REAL ANORM, RCOND
SUBROUTINE SPCON( UPLO, [N], A, IPIVOT, ANORM, RCOND, [WORK], [INFO])
CHARACTER(LEN=1) :: UPLO
COMPLEX, DIMENSION(:) :: A, WORK
INTEGER :: N, INFO
INTEGER, DIMENSION(:) :: IPIVOT
REAL :: ANORM, RCOND
SUBROUTINE SPCON_64( UPLO, [N], A, IPIVOT, ANORM, RCOND, [WORK],
* [INFO])
CHARACTER(LEN=1) :: UPLO
COMPLEX, DIMENSION(:) :: A, WORK
INTEGER(8) :: N, INFO
INTEGER(8), DIMENSION(:) :: IPIVOT
REAL :: ANORM, RCOND
#include <sunperf.h>
void cspcon(char uplo, int n, complex *a, int *ipivot, float anorm, float *rcond, int *info);
void cspcon_64(char uplo, long n, complex *a, long *ipivot, float anorm, float *rcond, long *info);
cspcon estimates the reciprocal of the condition number (in the
1-norm) of a complex symmetric packed matrix A using the
factorization A = U*D*U**T or A = L*D*L**T computed by CSPTRF.
An estimate is obtained for norm(inv(A)), and the reciprocal of the
condition number is computed as RCOND = 1 / (ANORM * norm(inv(A))).
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* UPLO (input)
-
Specifies whether the details of the factorization are stored
as an upper or lower triangular matrix.
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* N (input)
-
The order of the matrix A. N >= 0.
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* A (input)
-
The block diagonal matrix D and the multipliers used to
obtain the factor U or L as computed by CSPTRF, stored as a
packed triangular matrix.
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* IPIVOT (input)
-
Details of the interchanges and the block structure of D
as determined by CSPTRF.
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* ANORM (input)
-
The 1-norm of the original matrix A.
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* RCOND (output)
-
The reciprocal of the condition number of the matrix A,
computed as RCOND = 1/(ANORM * AINVNM), where AINVNM is an
estimate of the 1-norm of inv(A) computed in this routine.
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* WORK (workspace)
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dimension(2*N)
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* INFO (output)
-