Contents
     ssyrfs - improve the computed solution to a system of linear
     equations  when the coefficient matrix is symmetric indefin-
     ite, and provides error bounds and backward error  estimates
     for the solution
     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);
     ssyrfs improves the computed solution to a system of  linear
     equations  when the coefficient matrix is symmetric indefin-
     ite, and provides error bounds and backward error  estimates
     for the solution.
     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  lead-
               ing 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 refer-
               enced.  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  tri-
               angular 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  factor  U  or  L  from  the
               factorization A = U*D*U**T or A = L*D*L**T as com-
               puted by SSYTRF.
     LDAF (input)
               The leading dimension of the array  AF.   LDAF  >=
               max(1,N).
     IPIVOT (input)
               Details of the interchanges and the  block  struc-
               ture 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  solu-
               tion  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 estimated
               upper bound for the magnitude of the largest  ele-
               ment in (X(j) - XTRUE) divided by the magnitude of
               the largest element 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 element 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 ille-
               gal value