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Updated: June 2017
 
 

ssyrfs (3p)

Name

ssyrfs - improve the computed solution to a system of linear equations when the coefficient matrix is symmetric indefinite, provide error bounds and backward error estimates for the solution

Synopsis

SUBROUTINE SSYRFS(UPLO, N, NRHS, A, LDA, AF, LDAF, IPIVOT, B, LDB, X,
LDX, FERR, BERR, WORK, WORK2, INFO)

CHARACTER*1 UPLO
INTEGER N, NRHS, LDA, LDAF, LDB, LDX, INFO
INTEGER IPIVOT(*), WORK2(*)
REAL   A(LDA,*),  AF(LDAF,*),  B(LDB,*),  X(LDX,*),  FERR(*),  BERR(*),
WORK(*)

SUBROUTINE SSYRFS_64(UPLO, N, NRHS, A, LDA, AF, LDAF, IPIVOT, B, LDB,
X, LDX, FERR, BERR, WORK, WORK2, INFO)

CHARACTER*1 UPLO
INTEGER*8 N, NRHS, LDA, LDAF, LDB, LDX, INFO
INTEGER*8 IPIVOT(*), WORK2(*)
REAL  A(LDA,*),  AF(LDAF,*),  B(LDB,*),  X(LDX,*),  FERR(*),   BERR(*),
WORK(*)




F95 INTERFACE
SUBROUTINE SYRFS(UPLO, N, NRHS, A, LDA, AF, LDAF, IPIVOT, B, LDB,
X, LDX, FERR, BERR, WORK, WORK2, INFO)

CHARACTER(LEN=1) :: UPLO
INTEGER :: N, NRHS, LDA, LDAF, LDB, LDX, INFO
INTEGER, DIMENSION(:) :: IPIVOT, WORK2
REAL, DIMENSION(:) :: FERR, BERR, WORK
REAL, DIMENSION(:,:) :: A, AF, B, X

SUBROUTINE SYRFS_64(UPLO, N, NRHS, A, LDA, AF, LDAF, IPIVOT, B,
LDB, X, LDX, FERR, BERR, WORK, WORK2, INFO)

CHARACTER(LEN=1) :: UPLO
INTEGER(8) :: N, NRHS, LDA, LDAF, LDB, LDX, INFO
INTEGER(8), DIMENSION(:) :: IPIVOT, WORK2
REAL, DIMENSION(:) :: FERR, BERR, WORK
REAL, DIMENSION(:,:) :: A, AF, B, X




C INTERFACE
#include <sunperf.h>

void  ssyrfs(char  uplo, int n, int nrhs, float *a, int lda, float *af,
int ldaf, int *ipivot, float *b, int ldb, float *x, int  ldx,
float *ferr, float *berr, int *info);

void  ssyrfs_64(char uplo, long n, long nrhs, float *a, long lda, float
*af, long ldaf, long *ipivot, float *b, long ldb,  float  *x,
long ldx, float *ferr, float *berr, long *info);

Description

Oracle Solaris Studio Performance Library                           ssyrfs(3P)



NAME
       ssyrfs  - improve the computed solution to a system of linear equations
       when the coefficient matrix  is  symmetric  indefinite,  provide  error
       bounds and backward error estimates for the solution


SYNOPSIS
       SUBROUTINE SSYRFS(UPLO, N, NRHS, A, LDA, AF, LDAF, IPIVOT, B, LDB, X,
             LDX, FERR, BERR, WORK, WORK2, INFO)

       CHARACTER*1 UPLO
       INTEGER N, NRHS, LDA, LDAF, LDB, LDX, INFO
       INTEGER IPIVOT(*), WORK2(*)
       REAL   A(LDA,*),  AF(LDAF,*),  B(LDB,*),  X(LDX,*),  FERR(*),  BERR(*),
       WORK(*)

       SUBROUTINE SSYRFS_64(UPLO, N, NRHS, A, LDA, AF, LDAF, IPIVOT, B, LDB,
             X, LDX, FERR, BERR, WORK, WORK2, INFO)

       CHARACTER*1 UPLO
       INTEGER*8 N, NRHS, LDA, LDAF, LDB, LDX, INFO
       INTEGER*8 IPIVOT(*), WORK2(*)
       REAL  A(LDA,*),  AF(LDAF,*),  B(LDB,*),  X(LDX,*),  FERR(*),   BERR(*),
       WORK(*)




   F95 INTERFACE
       SUBROUTINE SYRFS(UPLO, N, NRHS, A, LDA, AF, LDAF, IPIVOT, B, LDB,
              X, LDX, FERR, BERR, WORK, WORK2, INFO)

       CHARACTER(LEN=1) :: UPLO
       INTEGER :: N, NRHS, LDA, LDAF, LDB, LDX, INFO
       INTEGER, DIMENSION(:) :: IPIVOT, WORK2
       REAL, DIMENSION(:) :: FERR, BERR, WORK
       REAL, DIMENSION(:,:) :: A, AF, B, X

       SUBROUTINE SYRFS_64(UPLO, N, NRHS, A, LDA, AF, LDAF, IPIVOT, B,
              LDB, X, LDX, FERR, BERR, WORK, WORK2, INFO)

       CHARACTER(LEN=1) :: UPLO
       INTEGER(8) :: N, NRHS, LDA, LDAF, LDB, LDX, INFO
       INTEGER(8), DIMENSION(:) :: IPIVOT, WORK2
       REAL, DIMENSION(:) :: FERR, BERR, WORK
       REAL, DIMENSION(:,:) :: A, AF, B, X




   C INTERFACE
       #include <sunperf.h>

       void  ssyrfs(char  uplo, int n, int nrhs, float *a, int lda, float *af,
                 int ldaf, int *ipivot, float *b, int ldb, float *x, int  ldx,
                 float *ferr, float *berr, int *info);

       void  ssyrfs_64(char uplo, long n, long nrhs, float *a, long lda, float
                 *af, long ldaf, long *ipivot, float *b, long ldb,  float  *x,
                 long ldx, float *ferr, float *berr, long *info);



PURPOSE
       ssyrfs  improves  the computed solution to a system of linear equations
       when the coefficient matrix is symmetric indefinite, and provides error
       bounds and backward error estimates for the solution.


ARGUMENTS
       UPLO (input)
                 = 'U':  Upper triangle of A is stored;
                 = 'L':  Lower triangle of A is stored.


       N (input) The order of the matrix A.  N >= 0.


       NRHS (input)
                 The  number  of right hand sides, i.e., the number of columns
                 of the matrices B and X.  NRHS >= 0.


       A (input) 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.


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


       AF (input)
                 The factored form of the matrix A.   AF  contains  the  block
                 diagonal matrix D and the multipliers used to obtain the fac-
                 tor U or L from  the  factorization  A  =  U*D*U**T  or  A  =
                 L*D*L**T as computed by SSYTRF.


       LDAF (input)
                 The leading dimension of the array AF.  LDAF >= max(1,N).


       IPIVOT (input)
                 Details  of  the interchanges and the block structure of D as
                 determined by SSYTRF.


       B (input) The right hand side matrix B.


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


       X (input/output)
                 On entry, the solution matrix X, as computed by  SSYTRS.   On
                 exit, the improved solution matrix X.


       LDX (input)
                 The leading dimension of the array X.  LDX >= max(1,N).


       FERR (output)
                 The  estimated  forward  error bound for each solution vector
                 X(j) (the j-th column of the solution matrix X).  If XTRUE is
                 the  true solution corresponding to X(j), FERR(j) is an esti-
                 mated upper bound for the magnitude of the largest element in
                 (X(j)  -  XTRUE) divided by the magnitude of the largest ele-
                 ment in X(j).  The estimate is as reliable  as  the  estimate
                 for  RCOND, and is almost always a slight overestimate of the
                 true error.


       BERR (output)
                 The componentwise relative backward error  of  each  solution
                 vector  X(j)  (i.e., the smallest relative change in any ele-
                 ment of A or B that makes X(j) an exact solution).


       WORK (workspace)
                 dimension(3*N)

       WORK2 (workspace)
                 dimension(N)


       INFO (output)
                 = 0:  successful exit
                 < 0:  if INFO = -i, the i-th argument had an illegal value




                                  7 Nov 2015                        ssyrfs(3P)