NAG Library Routine Document

f07mjf  (dsytri)

 Contents

    1  Purpose
    7  Accuracy

1
Purpose

f07mjf (dsytri) computes the inverse of a real symmetric indefinite matrix A, where A has been factorized by f07mdf (dsytrf).

2
Specification

Fortran Interface
Subroutine f07mjf ( uplo, n, a, lda, ipiv, work, info)
Integer, Intent (In):: n, lda, ipiv(*)
Integer, Intent (Out):: info
Real (Kind=nag_wp), Intent (Inout):: a(lda,*)
Real (Kind=nag_wp), Intent (Out):: work(n)
Character (1), Intent (In):: uplo
C Header Interface
#include nagmk26.h
void  f07mjf_ ( const char *uplo, const Integer *n, double a[], const Integer *lda, const Integer ipiv[], double work[], Integer *info, const Charlen length_uplo)
The routine may be called by its LAPACK name dsytri.

3
Description

f07mjf (dsytri) is used to compute the inverse of a real symmetric indefinite matrix A, the routine must be preceded by a call to f07mdf (dsytrf), which computes the Bunch–Kaufman factorization of A.
If uplo='U', A=PUDUTPT and A-1 is computed by solving UTPTXPU=D-1 for X.
If uplo='L', A=PLDLTPT and A-1 is computed by solving LTPTXPL=D-1 for X.

4
References

Du Croz J J and Higham N J (1992) Stability of methods for matrix inversion IMA J. Numer. Anal. 12 1–19

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 – IntegerInput
On entry: n, the order of the matrix A.
Constraint: n0.
3:     alda* – Real (Kind=nag_wp) arrayInput/Output
Note: the second dimension of the array a must be at least max1,n.
On entry: details of the factorization of A, as returned by f07mdf (dsytrf).
On exit: the factorization is overwritten by the n by n symmetric matrix A-1.
If uplo='U', the upper triangle of A-1 is stored in the upper triangular part of the array.
If uplo='L', the lower triangle of A-1 is stored in the lower triangular part of the array.
4:     lda – IntegerInput
On entry: the first dimension of the array a as declared in the (sub)program from which f07mjf (dsytri) is called.
Constraint: ldamax1,n.
5:     ipiv* – Integer arrayInput
Note: the dimension of the array ipiv must be at least max1,n.
On entry: details of the interchanges and the block structure of D, as returned by f07mdf (dsytrf).
6:     workn – Real (Kind=nag_wp) arrayWorkspace
7:     info – IntegerOutput
On exit: info=0 unless the routine detects an error (see Section 6).

6
Error Indicators and Warnings

-999<info<0
If info=-i, argument i had an illegal value. An explanatory message is output, and execution of the program is terminated.
info=-999
Dynamic memory allocation failed.
See Section 3.7 in How to Use the NAG Library and its Documentation for further information.
An explanatory message is output, and execution of the program is terminated.
info>0
Element value of the diagonal is exactly zero. D is singular and the inverse of A cannot be computed.

7
Accuracy

The computed inverse X satisfies a bound of the form cn is a modest linear function of n, and ε is the machine precision.

8
Parallelism and Performance

f07mjf (dsytri) 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 23n3.
The complex analogues of this routine are f07mwf (zhetri) for Hermitian matrices and f07nwf (zsytri) for symmetric matrices.

10
Example

This example computes the inverse of the matrix A, 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 .  
Here A is symmetric indefinite and must first be factorized by f07mdf (dsytrf).

10.1
Program Text

Program Text (f07mjfe.f90)

10.2
Program Data

Program Data (f07mjfe.d)

10.3
Program Results

Program Results (f07mjfe.r)

© The Numerical Algorithms Group Ltd, Oxford, UK. 2017