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dtprfs

 NAME
      DTPRFS - 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 DTPRFS( 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( * )

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

 PURPOSE
      DTPRFS 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 DTPTRS or some
      other means before entering this routine.  DTPRFS 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) DOUBLE PRECISION 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)*(2n-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) DOUBLE PRECISION 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) DOUBLE PRECISION array, dimension (LDX,NRHS)
              The solution matrix X.

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

      FERR    (output) DOUBLE PRECISION array, dimension (NRHS)
              The estimated forward error bounds for each solution
              vector X(j) (the j-th column of the solution matrix
              X).  If XTRUE is the true solution, FERR(j) bounds
              the magnitude of the largest entry in (X(j) - XTRUE)
              divided by the magnitude of the largest entry in
              X(j).  The quality of the error bound depends on the
              quality of the estimate of norm(inv(A)) computed in
              the code; if the estimate of norm(inv(A)) is accu-
              rate, the error bound is guaranteed.

      BERR    (output) DOUBLE PRECISION array, dimension (NRHS)
              The componentwise relative backward error of each
              solution vector X(j) (i.e., the smallest relative
              change in any entry of A or B that makes X(j) an
              exact solution).

      WORK    (workspace) DOUBLE PRECISION 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 illegal
              value