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NAME
     stprfs - provide error bounds and backward  error  estimates
     for the solution to a system of linear equations with a tri-
     angular packed coefficient matrix

SYNOPSIS
     SUBROUTINE STPRFS( UPLO, TRANS, DIAG, N, NRHS, AP,  B,  LDB,
               X, LDX, FERR, BERR, WORK, IWORK, INFO )

     CHARACTER DIAG, TRANS, UPLO

     INTEGER INFO, LDB, LDX, N, NRHS

     INTEGER IWORK( * )

     REAL AP( * ), B( LDB, * ), BERR( * ), FERR( * ), WORK( *  ),
               X( LDX, * )



     #include <sunperf.h>

     void stprfs(char uplo, char trans, char  diag,  int  n,  int
               nrhs,  float  *sap, float *sb, int ldb, float *sx,
               int ldx,
                float *ferr, float *berr, int *info) ;

PURPOSE
     STPRFS provides error bounds and  backward  error  estimates
     for the solution to a system of linear equations with a tri-
     angular packed coefficient matrix.

     The solution matrix X must be computed  by  STPTRS  or  some
     other  means  before entering this routine.  STPRFS does not
     do iterative refinement because doing so cannot improve  the
     backward error.


ARGUMENTS
     UPLO      (input) CHARACTER*1
               = 'U':  A is upper triangular;
               = 'L':  A is lower triangular.

     TRANS     (input) CHARACTER*1
               Specifies the form of the system of equations:
               = 'N':  A * X = B  (No transpose)
               = 'T':  A**T * X = B  (Transpose)
               = 'C':  A**H * X = B  (Conjugate transpose = Tran-
               spose)

     DIAG      (input) CHARACTER*1
               = 'N':  A is non-unit triangular;
               = 'U':  A is unit triangular.

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

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

     AP        (input) REAL array, dimension (N*(N+1)/2)
               The upper or lower  triangular  matrix  A,  packed
               columnwise  in a linear array.  The j-th column of
               A is stored in the array AP as follows:  if UPLO =
               'U',  AP(i  +  (j-1)*j/2) = A(i,j) for 1<=i<=j; if
               UPLO = 'L', AP(i + (j-1)*(2*n-j)/2) =  A(i,j)  for
               j<=i<=n.   If DIAG = 'U', the diagonal elements of
               A are not referenced and are assumed to be 1.

     B         (input) REAL array, dimension (LDB,NRHS)
               The right hand side matrix B.

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

     X         (input) REAL array, dimension (LDX,NRHS)
               The solution matrix X.

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

     FERR      (output) REAL array, dimension (NRHS)
               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) REAL array, dimension (NRHS)
               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) REAL array, dimension (3*N)

     IWORK     (workspace) INTEGER array, dimension (N)
     INFO      (output) INTEGER
               = 0:  successful exit
               < 0:  if INFO = -i, the i-th argument had an ille-
               gal value

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