NAME

SYNOPSIS

  SUBROUTINE SSYSV( UPLO, N, NRHS, A, LDA, IPIVOT, B, LDB, WORK, 
 *      LDWORK, INFO)
  CHARACTER * 1 UPLO
  INTEGER N, NRHS, LDA, LDB, LDWORK, INFO
  INTEGER IPIVOT(*)
  REAL A(LDA,*), B(LDB,*), WORK(*)
 
  SUBROUTINE SSYSV_64( UPLO, N, NRHS, A, LDA, IPIVOT, B, LDB, WORK, 
 *      LDWORK, INFO)
  CHARACTER * 1 UPLO
  INTEGER*8 N, NRHS, LDA, LDB, LDWORK, INFO
  INTEGER*8 IPIVOT(*)
  REAL A(LDA,*), B(LDB,*), WORK(*)
 

F95 INTERFACE

  SUBROUTINE SYSV( UPLO, N, NRHS, A, [LDA], IPIVOT, B, [LDB], [WORK], 
 *       [LDWORK], [INFO])
  CHARACTER(LEN=1) :: UPLO
  INTEGER :: N, NRHS, LDA, LDB, LDWORK, INFO
  INTEGER, DIMENSION(:) :: IPIVOT
  REAL, DIMENSION(:) :: WORK
  REAL, DIMENSION(:,:) :: A, B
 
  SUBROUTINE SYSV_64( UPLO, N, NRHS, A, [LDA], IPIVOT, B, [LDB], [WORK], 
 *       [LDWORK], [INFO])
  CHARACTER(LEN=1) :: UPLO
  INTEGER(8) :: N, NRHS, LDA, LDB, LDWORK, INFO
  INTEGER(8), DIMENSION(:) :: IPIVOT
  REAL, DIMENSION(:) :: WORK
  REAL, DIMENSION(:,:) :: A, B
 

C INTERFACE

void ssysv(char uplo, int n, int nrhs, float *a, int lda, int *ipivot, float *b, int ldb, int *info);

void ssysv_64(char uplo, long n, long nrhs, float *a, long lda, long *ipivot, float *b, long ldb, long *info);

PURPOSE

The diagonal pivoting method is used to factor A as

   A = U * D * U**T,  if UPLO = 'U', or
   A = L * D * L**T,  if UPLO = 'L',

where U (or L) is a product of permutation and unit upper (lower) triangular matrices, and D is symmetric and block diagonal with 1-by-1 and 2-by-2 diagonal blocks. The factored form of A is then used to solve the system of equations A * X = B.

ARGUMENTS

* UPLO (input)

* N (input)

The number of linear equations, i.e., the order of the matrix A. N >= 0.

* NRHS (input)

The number of right hand sides, i.e., the number of columns of the matrix B. NRHS >= 0.

* A (input/output)

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 block diagonal matrix D and the multipliers used to obtain the factor U or L from the factorization A = U*D*U**T or A = L*D*L**T as computed by SSYTRF.

* LDA (input)

The leading dimension of the array A. LDA >= max(1,N).

* IPIVOT (output)

Details of the interchanges and the block structure of D, as determined by SSYTRF. 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.

* B (input/output)

On entry, the N-by-NRHS right hand side matrix B. On exit, if INFO = 0, the N-by-NRHS solution matrix X.

* LDB (input)

The leading dimension of the array B. LDB >= max(1,N).

* WORK (workspace)

On exit, if INFO = 0, WORK(1) returns the optimal LDWORK.

* LDWORK (input)

The length of WORK. LDWORK >= 1, and for best performance LDWORK >= N*NB, where NB is the optimal blocksize for SSYTRF.

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.

* INFO (output)