Integer, Intent (In)	::	n
Integer, Intent (Out)	::	info
Real (Kind=nag_wp), Intent (In)	::	anorm
Real (Kind=nag_wp), Intent (Out)	::	rcond, rwork(n)
Complex (Kind=nag_wp), Intent (In)	::	ap(*)
Complex (Kind=nag_wp), Intent (Out)	::	work(2*n)
Character (1), Intent (In)	::	uplo

C Header Interface

#include <nag.h>

void	f07guf_ (const char uplo, const Integer n, const Complex ap[], const double anorm, double rcond, Complex work[], double rwork[], Integer *info, const Charlen length_uplo)

The routine may be called by the names f07guf, nagf_lapacklin_zppcon or its LAPACK name zppcon.

3 Description

f07guf estimates the condition number (in the

1

-norm) of a complex Hermitian positive definite matrix

A

κ_{1} (A) = {‖ A ‖}_{1} {‖ A^{- 1} ‖}_{1} .

Since

A

is Hermitian,

κ_{1} (A) = κ_{\infty} (A) = {‖ A ‖}_{\infty} {‖ A^{- 1} ‖}_{\infty}

Because

κ_{1} (A)

is infinite if

A

is singular, the routine actually returns an estimate of the reciprocal of

κ_{1} (A)

The routine should be preceded by a call to f06udf to compute

{‖ A ‖}_{1}

and a call to f07grf to compute the Cholesky factorization of

A

. The routine then uses Higham's implementation of Hager's method (see Higham (1988)) to estimate

{‖ A^{- 1} ‖}_{1}

4 References

Higham N J (1988) FORTRAN codes for estimating the one-norm of a real or complex matrix, with applications to condition estimation ACM Trans. Math. Software 14 381–396

5 Arguments

1: $uplo$ – Character(1) Input

On entry: specifies how

A

has been factorized.

$uplo ='U'$: $A = U^{H} U$ , where $U$ is upper triangular.
$uplo ='L'$: $A = L L^{H}$ , where $L$ is lower triangular.

Constraint:

uplo ='U'

'L'

2: $n$ – Integer Input

On entry:

n

, the order of the matrix

A

Constraint:

n \geq 0

3: $ap (*)$ – Complex (Kind=nag_wp) array Input

Note: the dimension of the array ap must be at least

\max (1, n \times (n + 1) / 2)

On entry: the Cholesky factor of

A

stored in packed form, as returned by f07grf.

4: $anorm$ – Real (Kind=nag_wp) Input

On entry: the

1

-norm of the original matrix

A

, which may be computed by calling f06udf with its argument

norm ='1'

. anorm must be computed either before calling f07grf or else from a copy of the original matrix

A

Constraint:

anorm \geq 0.0

5: $rcond$ – Real (Kind=nag_wp) Output

On exit: an estimate of the reciprocal of the condition number of

A

. rcond is set to zero if exact singularity is detected or the estimate underflows. If rcond is less than machine precision,

A

is singular to working precision.

6: $work (2 \times n)$ – Complex (Kind=nag_wp) array Workspace

7: $rwork (n)$ – Real (Kind=nag_wp) array Workspace

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

The computed estimate rcond is never less than the true value

ρ

, and in practice is nearly always less than

10 ρ

, although examples can be constructed where rcond is much larger.

8 Parallelism and Performance

f07guf 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

A call to f07guf involves solving a number of systems of linear equations of the form

A x = b

; the number is usually

5

and never more than

11

. Each solution involves approximately

8 n^{2}

real floating-point operations but takes considerably longer than a call to f07gsf with one right-hand side, because extra care is taken to avoid overflow when

A

is approximately singular.

The real analogue of this routine is f07ggf.

10 Example

This example estimates the condition number in the

1

-norm (or

\infty

-norm) of the matrix

A

, where

A = (\begin{array}{r} 3.23 + 0.00 i & 1.51 - 1.92 i & 1.90 + 0.84 i & 0.42 + 2.50 i \\ 1.51 + 1.92 i & 3.58 + 0.00 i & - 0.23 + 1.11 i & - 1.18 + 1.37 i \\ 1.90 - 0.84 i & - 0.23 - 1.11 i & 4.09 + 0.00 i & 2.33 - 0.14 i \\ 0.42 - 2.50 i & - 1.18 - 1.37 i & 2.33 + 0.14 i & 4.29 + 0.00 i \end{array}) .

Here

A

is Hermitian positive definite, stored in packed form, and must first be factorized by f07grf. The true condition number in the

1

-norm is

201.92

f07gu: FL CL CPP AD

NAG FL Interfacef07guf (zppcon)

▸▿ Contents

1 Purpose

2 Specification

3 Description

4 References

5 Arguments

6 Error Indicators and Warnings

7 Accuracy

8 Parallelism and Performance

9 Further Comments

10 Example

10.1 Program Text

10.2 Program Data

10.3 Program Results

NAG FL Interface
f07guf (zppcon)