NAG FL Interface
f07wjf (dpftri)

1 Purpose

f07wjf computes the inverse of a real symmetric positive definite matrix using the Cholesky factorization computed by f07wdf stored in Rectangular Full Packed (RFP) format.

2 Specification

Fortran Interface
Subroutine f07wjf ( transr, uplo, n, ar, info)
Integer, Intent (In) :: n
Integer, Intent (Out) :: info
Real (Kind=nag_wp), Intent (Inout) :: ar(n*(n+1)/2)
Character (1), Intent (In) :: transr, uplo
C Header Interface
#include <nag.h>
void  f07wjf_ (const char *transr, const char *uplo, const Integer *n, double ar[], Integer *info, const Charlen length_transr, const Charlen length_uplo)
The routine may be called by the names f07wjf, nagf_lapacklin_dpftri or its LAPACK name dpftri.

3 Description

f07wjf is used to compute the inverse of a real symmetric positive definite matrix A, stored in RFP format. The RFP storage format is described in Section 3.3.3 in the F07 Chapter Introduction. The routine must be preceded by a call to f07wdf, which computes the Cholesky factorization of A.
If uplo='U', A=UTU and A-1 is computed by first inverting U and then forming U-1U-T.
If uplo='L', A=LLT and A-1 is computed by first inverting L and then forming L-TL-1.

4 References

Du Croz J J and Higham N J (1992) Stability of methods for matrix inversion IMA J. Numer. Anal. 12 1–19
Gustavson F G, Waśniewski J, Dongarra J J and Langou J (2010) Rectangular full packed format for Cholesky's algorithm: factorization, solution, and inversion ACM Trans. Math. Software 37, 2

5 Arguments

1: transr Character(1) Input
On entry: specifies whether the RFP representation of A is normal or transposed.
transr='N'
The matrix A is stored in normal RFP format.
transr='T'
The matrix A is stored in transposed RFP format.
Constraint: transr='N' or 'T'.
2: uplo Character(1) Input
On entry: specifies how A has been factorized.
uplo='U'
A=UTU, where U is upper triangular.
uplo='L'
A=LLT, where L is lower triangular.
Constraint: uplo='U' or 'L'.
3: n Integer Input
On entry: n, the order of the matrix A.
Constraint: n0.
4: arn×n+1/2 Real (Kind=nag_wp) array Input/Output
On entry: the Cholesky factorization of A stored in RFP format, as returned by f07wdf.
On exit: the factorization is overwritten by the n by n matrix A-1 stored in RFP format.
5: 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.
info>0
The leading minor of order value is not positive definite and the factorization could not be completed. Hence A itself is not positive definite. This may indicate an error in forming the matrix A. There is no routine specifically designed to invert a symmetric matrix stored in RFP format which is not positive definite; the matrix must be treated as a full symmetric matrix, by calling f07mjf.

7 Accuracy

The computed inverse X satisfies
XA-I2cnεκ2A   and   AX-I2cnεκ2A ,  
where cn is a modest function of n, ε is the machine precision and κ2A is the condition number of A defined by
κ2A=A2A-12 .  

8 Parallelism and Performance

f07wjf 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 analogue of this routine is f07wwf.

10 Example

This example computes the inverse of the matrix A, where
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 .  
Here A is symmetric positive definite, stored in RFP format, and must first be factorized by f07wdf.

10.1 Program Text

Program Text (f07wjfe.f90)

10.2 Program Data

Program Data (f07wjfe.d)

10.3 Program Results

Program Results (f07wjfe.r)