NAG FL Interface
f07pef (dsptrs)

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1 Purpose

f07pef solves a real symmetric indefinite system of linear equations with multiple right-hand sides,
AX=B ,  
where A has been factorized by f07pdf, using packed storage.

2 Specification

Fortran Interface
Subroutine f07pef ( uplo, n, nrhs, ap, ipiv, b, ldb, info)
Integer, Intent (In) :: n, nrhs, ipiv(*), ldb
Integer, Intent (Out) :: info
Real (Kind=nag_wp), Intent (In) :: ap(*)
Real (Kind=nag_wp), Intent (Inout) :: b(ldb,*)
Character (1), Intent (In) :: uplo
C Header Interface
#include <nag.h>
void  f07pef_ (const char *uplo, const Integer *n, const Integer *nrhs, const double ap[], const Integer ipiv[], double b[], const Integer *ldb, Integer *info, const Charlen length_uplo)
The routine may be called by the names f07pef, nagf_lapacklin_dsptrs or its LAPACK name dsptrs.

3 Description

f07pef is used to solve a real symmetric indefinite system of linear equations AX=B, the routine must be preceded by a call to f07pdf which computes the Bunch–Kaufman factorization of A, using packed storage.
If uplo='U', A=PUDUTPT, where P is a permutation matrix, U is an upper triangular matrix and D is a symmetric block diagonal matrix with 1×1 and 2×2 blocks; the solution X is computed by solving PUDY=B and then UTPTX=Y.
If uplo='L', A=PLDLTPT, where L is a lower triangular matrix; the solution X is computed by solving PLDY=B and then LTPTX=Y.

4 References

Golub G H and Van Loan C F (1996) Matrix Computations (3rd Edition) Johns Hopkins University Press, Baltimore

5 Arguments

1: uplo Character(1) Input
On entry: specifies how A has been factorized.
uplo='U'
A=PUDUTPT, where U is upper triangular.
uplo='L'
A=PLDLTPT, where L is lower triangular.
Constraint: uplo='U' or 'L'.
2: n Integer Input
On entry: n, the order of the matrix A.
Constraint: n0.
3: nrhs Integer Input
On entry: r, the number of right-hand sides.
Constraint: nrhs0.
4: ap(*) Real (Kind=nag_wp) array Input
Note: the dimension of the array ap must be at least max(1,n×(n+1)/2).
On entry: the factorization of A stored in packed form, as returned by f07pdf.
5: ipiv(*) Integer array Input
Note: the dimension of the array ipiv must be at least max(1,n).
On entry: details of the interchanges and the block structure of D, as returned by f07pdf.
6: b(ldb,*) Real (Kind=nag_wp) array Input/Output
Note: the second dimension of the array b must be at least max(1,nrhs).
On entry: the n×r right-hand side matrix B.
On exit: the n×r solution matrix X.
7: ldb Integer Input
On entry: the first dimension of the array b as declared in the (sub)program from which f07pef is called.
Constraint: ldbmax(1,n).
8: info Integer Output
On exit: info=0 unless the routine detects an error (see Section 6).

6 Error Indicators and Warnings

info<0
If info=-i, argument i had an illegal value. An explanatory message is output, and execution of the program is terminated.

7 Accuracy

For each right-hand side vector b, the computed solution x is the exact solution of a perturbed system of equations (A+E)x=b, where c(n) is a modest linear function of n, and ε is the machine precision.
If x^ is the true solution, then the computed solution x satisfies a forward error bound of the form
x-x^ x c(n)cond(A,x)ε  
where cond(A,x)=|A-1||A||x|/xcond(A)=|A-1||A|κ(A).
Note that cond(A,x) can be much smaller than cond(A).
Forward and backward error bounds can be computed by calling f07phf, and an estimate for κ(A) (=κ1(A)) can be obtained by calling f07pgf.

8 Parallelism and Performance

f07pef makes calls to BLAS and/or LAPACK routines, which may be threaded within the vendor library used by this implementation. Consult the documentation for the vendor library for further information.
Please consult the X06 Chapter Introduction for information on how to control and interrogate the OpenMP environment used within this routine. Please also consult the Users' Note for your implementation for any additional implementation-specific information.

9 Further Comments

The total number of floating-point operations is approximately 2n2r.
This routine may be followed by a call to f07phf to refine the solution and return an error estimate.
The complex analogues of this routine are f07psf for Hermitian matrices and f07qsf for symmetric matrices.

10 Example

This example solves the system of equations AX=B, where
A= ( 2.07 3.87 4.20 -1.15 3.87 -0.21 1.87 0.63 4.20 1.87 1.15 2.06 -1.15 0.63 2.06 -1.81 )   and   B= ( -9.50 27.85 -8.38 9.90 -6.07 19.25 -0.96 3.93 ) .  
Here A is symmetric indefinite, stored in packed form, and must first be factorized by f07pdf.

10.1 Program Text

Program Text (f07pefe.f90)

10.2 Program Data

Program Data (f07pefe.d)

10.3 Program Results

Program Results (f07pefe.r)