SPTRFS(3)
            improves the computed solution to a system of linear equations when the coefficient matrix is symmetric positive definite and tridiagonal, and provides error bounds and backward error estimates for the solution
        
      
        
SYNOPSIS
- SUBROUTINE SPTRFS(
- 
N, NRHS, D, E, DF, EF, B, LDB, X, LDX, FERR,
BERR, WORK, INFO )
 
- 
INTEGER
INFO, LDB, LDX, N, NRHS
 
- 
REAL
B( LDB, * ), BERR( * ), D( * ), DF( * ),
E( * ), EF( * ), FERR( * ), WORK( * ),
X( LDX, * )
 
PURPOSE
SPTRFS improves the computed solution to a system of linear
equations when the coefficient matrix is symmetric positive definite
and tridiagonal, and provides error bounds and backward error
estimates for the solution.
ARGUMENTS
- 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 matrix B.  NRHS >= 0.
- D       (input) REAL array, dimension (N)
- 
The n diagonal elements of the tridiagonal matrix A.
- E       (input) REAL array, dimension (N-1)
- 
The (n-1) subdiagonal elements of the tridiagonal matrix A.
- DF      (input) REAL array, dimension (N)
- 
The n diagonal elements of the diagonal matrix D from the
factorization computed by SPTTRF.
- EF      (input) REAL array, dimension (N-1)
- 
The (n-1) subdiagonal elements of the unit bidiagonal factor
L from the factorization computed by SPTTRF.
- 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/output) REAL array, dimension (LDX,NRHS)
- 
On entry, the solution matrix X, as computed by SPTTRS.
On exit, the improved solution matrix X.
- LDX     (input) INTEGER
- 
The leading dimension of the array X.  LDX >= max(1,N).
- FERR    (output) REAL array, dimension (NRHS)
- 
The 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 estimated upper bound for the magnitude of the largest
element in (X(j) - XTRUE) divided by the magnitude of the
largest element in X(j).
- 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 (2*N)
- 
- INFO    (output) INTEGER
- 
= 0:  successful exit
 < 0:  if INFO = -i, the i-th argument had an illegal value
 
PARAMETERS
ITMAX is the maximum number of steps of iterative refinement.