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Updated: June 2017
 
 

ssysv (3p)

Name

ssysv - compute the solution to a real system of linear equations A*X = B, where A is an N-by-N symmetric matrix and X and B are N-by-NRHS matrices

Synopsis

SUBROUTINE SSYSV(UPLO, N, NRHS, A, LDA, IPIVOT, B, LDB, WORK, LWORK,
INFO)

CHARACTER*1 UPLO
INTEGER N, NRHS, LDA, LDB, LWORK, INFO
INTEGER IPIVOT(*)
REAL A(LDA,*), B(LDB,*), WORK(*)

SUBROUTINE SSYSV_64(UPLO, N, NRHS, A, LDA, IPIVOT, B, LDB, WORK,
LWORK, INFO)

CHARACTER*1 UPLO
INTEGER*8 N, NRHS, LDA, LDB, LWORK, INFO
INTEGER*8 IPIVOT(*)
REAL A(LDA,*), B(LDB,*), WORK(*)




F95 INTERFACE
SUBROUTINE SYSV(UPLO, N, NRHS, A, LDA, IPIVOT, B, LDB, WORK,
LWORK, INFO)

CHARACTER(LEN=1) :: UPLO
INTEGER :: N, NRHS, LDA, LDB, LWORK, INFO
INTEGER, DIMENSION(:) :: IPIVOT
REAL, DIMENSION(:) :: WORK
REAL, DIMENSION(:,:) :: A, B

SUBROUTINE SYSV_64(UPLO, N, NRHS, A, LDA, IPIVOT, B, LDB, WORK,
LWORK, INFO)

CHARACTER(LEN=1) :: UPLO
INTEGER(8) :: N, NRHS, LDA, LDB, LWORK, INFO
INTEGER(8), DIMENSION(:) :: IPIVOT
REAL, DIMENSION(:) :: WORK
REAL, DIMENSION(:,:) :: A, B




C INTERFACE
#include <sunperf.h>

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);

Description

Oracle Solaris Studio Performance Library                            ssysv(3P)



NAME
       ssysv  - compute the solution to a real system of linear equations  A*X
       = B, where A is an N-by-N symmetric matrix and X and  B  are  N-by-NRHS
       matrices


SYNOPSIS
       SUBROUTINE SSYSV(UPLO, N, NRHS, A, LDA, IPIVOT, B, LDB, WORK, LWORK,
             INFO)

       CHARACTER*1 UPLO
       INTEGER N, NRHS, LDA, LDB, LWORK, INFO
       INTEGER IPIVOT(*)
       REAL A(LDA,*), B(LDB,*), WORK(*)

       SUBROUTINE SSYSV_64(UPLO, N, NRHS, A, LDA, IPIVOT, B, LDB, WORK,
             LWORK, INFO)

       CHARACTER*1 UPLO
       INTEGER*8 N, NRHS, LDA, LDB, LWORK, INFO
       INTEGER*8 IPIVOT(*)
       REAL A(LDA,*), B(LDB,*), WORK(*)




   F95 INTERFACE
       SUBROUTINE SYSV(UPLO, N, NRHS, A, LDA, IPIVOT, B, LDB, WORK,
              LWORK, INFO)

       CHARACTER(LEN=1) :: UPLO
       INTEGER :: N, NRHS, LDA, LDB, LWORK, INFO
       INTEGER, DIMENSION(:) :: IPIVOT
       REAL, DIMENSION(:) :: WORK
       REAL, DIMENSION(:,:) :: A, B

       SUBROUTINE SYSV_64(UPLO, N, NRHS, A, LDA, IPIVOT, B, LDB, WORK,
              LWORK, INFO)

       CHARACTER(LEN=1) :: UPLO
       INTEGER(8) :: N, NRHS, LDA, LDB, LWORK, INFO
       INTEGER(8), DIMENSION(:) :: IPIVOT
       REAL, DIMENSION(:) :: WORK
       REAL, DIMENSION(:,:) :: A, B




   C INTERFACE
       #include <sunperf.h>

       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
       ssysv computes the solution to a real system of linear equations
          A  * X = B, where A is an N-by-N symmetric matrix and X and B are N-
       by-NRHS matrices.

       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)  tri-
       angular 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)
                 = 'U':  Upper triangle of A is stored;
                 = 'L':  Lower triangle of A is stored.


       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 triangu-
                 lar  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 factor-
                 ization 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  col-
                 umns  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 LWORK.


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

                 If LWORK = -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 LWORK is issued by XERBLA.


       INFO (output)
                 = 0: successful exit
                 < 0: if INFO = -i, the i-th argument had an illegal value
                 >  0: if INFO = i, D(i,i) is exactly zero.  The factorization
                 has been completed,  but  the  block  diagonal  matrix  D  is
                 exactly singular, so the solution could not be computed.




                                  7 Nov 2015                         ssysv(3P)