NAG Library Routine Document

f04bdf  (real_posdef_solve)

 Contents

    1  Purpose
    7  Accuracy

1
Purpose

f04bdf computes the solution to a real system of linear equations AX=B, where A is an n by n symmetric positive definite matrix and X and B are n by r matrices. An estimate of the condition number of A and an error bound for the computed solution are also returned.

2
Specification

Fortran Interface
Subroutine f04bdf ( uplo, n, nrhs, a, lda, b, ldb, rcond, errbnd, ifail)
Integer, Intent (In):: n, nrhs, lda, ldb
Integer, Intent (Inout):: ifail
Real (Kind=nag_wp), Intent (Inout):: a(lda,*), b(ldb,*)
Real (Kind=nag_wp), Intent (Out):: rcond, errbnd
Character (1), Intent (In):: uplo
C Header Interface
#include nagmk26.h
void  f04bdf_ ( const char *uplo, const Integer *n, const Integer *nrhs, double a[], const Integer *lda, double b[], const Integer *ldb, double *rcond, double *errbnd, Integer *ifail, const Charlen length_uplo)

3
Description

The Cholesky factorization is used to factor A as A=UTU, if uplo='U', or A=LLT, if uplo='L', where U is an upper triangular matrix and L is a lower triangular matrix. The factored form of A is then used to solve the system of equations AX=B.

4
References

Anderson E, Bai Z, Bischof C, Blackford S, Demmel J, Dongarra J J, Du Croz J J, Greenbaum A, Hammarling S, McKenney A and Sorensen D (1999) LAPACK Users' Guide (3rd Edition) SIAM, Philadelphia http://www.netlib.org/lapack/lug
Higham N J (2002) Accuracy and Stability of Numerical Algorithms (2nd Edition) SIAM, Philadelphia

5
Arguments

1:     uplo – Character(1)Input
On entry: if uplo='U', the upper triangle of the matrix A is stored.
If uplo='L', the lower triangle of the matrix A is stored.
Constraint: uplo='U' or 'L'.
2:     n – IntegerInput
On entry: the number of linear equations n, i.e., the order of the matrix A.
Constraint: n0.
3:     nrhs – IntegerInput
On entry: the number of right-hand sides r, i.e., the number of columns of the matrix B.
Constraint: nrhs0.
4:     alda* – Real (Kind=nag_wp) arrayInput/Output
Note: the second dimension of the array a must be at least max1,n.
On entry: the n by n symmetric matrix A.
If uplo='U', the leading n by n upper triangular part of a contains the upper triangular part of the matrix A, and the strictly lower triangular part of a is not referenced.
If uplo='L', the leading n by n lower triangular part of a contains the lower triangular part of the matrix A, and the strictly upper triangular part of a is not referenced.
On exit: if ifail=0 or n+1, the factor U or L from the Cholesky factorization A=UTU or A=LLT.
5:     lda – IntegerInput
On entry: the first dimension of the array a as declared in the (sub)program from which f04bdf is called.
Constraint: ldamax1,n.
6:     bldb* – Real (Kind=nag_wp) arrayInput/Output
Note: the second dimension of the array b must be at least max1,nrhs.
On entry: the n by r matrix of right-hand sides B.
On exit: if ifail=0 or n+1, the n by r solution matrix X.
7:     ldb – IntegerInput
On entry: the first dimension of the array b as declared in the (sub)program from which f04bdf is called.
Constraint: ldbmax1,n.
8:     rcond – Real (Kind=nag_wp)Output
On exit: if ifail=0 or n+1, an estimate of the reciprocal of the condition number of the matrix A, computed as rcond=1/A1A-11.
9:     errbnd – Real (Kind=nag_wp)Output
On exit: if ifail=0 or n+1, an estimate of the forward error bound for a computed solution x^, such that x^-x1/x1errbnd, where x^ is a column of the computed solution returned in the array b and x is the corresponding column of the exact solution X. If rcond is less than machine precision, errbnd is returned as unity.
10:   ifail – IntegerInput/Output
On entry: ifail must be set to 0, -1​ or ​1. If you are unfamiliar with this argument you should refer to Section 3.4 in How to Use the NAG Library and its Documentation for details.
For environments where it might be inappropriate to halt program execution when an error is detected, the value -1​ or ​1 is recommended. If the output of error messages is undesirable, then the value 1 is recommended. Otherwise, if you are not familiar with this argument, the recommended value is 0. When the value -1​ or ​1 is used it is essential to test the value of ifail on exit.
On exit: ifail=0 unless the routine detects an error or a warning has been flagged (see Section 6).

6
Error Indicators and Warnings

If on entry ifail=0 or -1, explanatory error messages are output on the current error message unit (as defined by x04aaf).
Errors or warnings detected by the routine:
ifail>0andifailn
The principal minor of order value of the matrix A is not positive definite. The factorization has not been completed and the solution could not be computed.
ifail=n+1
A solution has been computed, but rcond is less than machine precision so that the matrix A is numerically singular.
ifail=-1
On entry, uplo'U' or 'L': uplo=value.
ifail=-2
On entry, n=value.
Constraint: n0.
ifail=-3
On entry, nrhs=value.
Constraint: nrhs0.
ifail=-5
On entry, lda=value and n=value.
Constraint: ldamax1,n.
ifail=-7
On entry, ldb=value and n=value.
Constraint: ldbmax1,n.
ifail=-99
An unexpected error has been triggered by this routine. Please contact NAG.
See Section 3.9 in How to Use the NAG Library and its Documentation for further information.
ifail=-399
Your licence key may have expired or may not have been installed correctly.
See Section 3.8 in How to Use the NAG Library and its Documentation for further information.
ifail=-999
Dynamic memory allocation failed.
The integer allocatable memory required is n, and the real allocatable memory required is 3×n. Allocation failed before the solution could be computed.
See Section 3.7 in How to Use the NAG Library and its Documentation for further information.

7
Accuracy

The computed solution for a single right-hand side, x^, satisfies an equation of the form
A+E x^=b,  
where
E1 = Oε A1  
and ε is the machine precision. An approximate error bound for the computed solution is given by
x^-x1 x1 κA E1 A1 ,  
where κA = A-11 A1 , the condition number of A with respect to the solution of the linear equations. f04bdf uses the approximation E1=εA1 to estimate errbnd. See Section 4.4 of Anderson et al. (1999) for further details.

8
Parallelism and Performance

f04bdf is threaded by NAG for parallel execution in multithreaded implementations of the NAG Library.
f04bdf 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 required to solve the equations AX=B is proportional to 13n3+n2r. The condition number estimation typically requires between four and five solves and never more than eleven solves, following the factorization.
In practice the condition number estimator is very reliable, but it can underestimate the true condition number; see Section 15.3 of Higham (2002) for further details.
The complex analogue of f04bdf is f04cdf.

10
Example

This example solves the equations
AX=B,  
where A is the symmetric positive definite matrix
A= 4.16 -3.12 0.56 -0.10 -3.12 5.03 -0.83 1.18 0.56 -0.83 0.76 0.34 -0.10 1.18 0.34 1.18   and   B= 8.70 8.30 -13.35 2.13 1.89 1.61 -4.14 5.00 .  
An estimate of the condition number of A and an approximate error bound for the computed solutions are also printed.

10.1
Program Text

Program Text (f04bdfe.f90)

10.2
Program Data

Program Data (f04bdfe.d)

10.3
Program Results

Program Results (f04bdfe.r)

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