NAG Library Routine Document

Integer, Intent (In)	::	n, ilo, ihi, m, ldv
Integer, Intent (Out)	::	info
Real (Kind=nag_wp), Intent (In)	::	scale(*)
Real (Kind=nag_wp), Intent (Inout)	::	v(ldv,*)
Character (1), Intent (In)	::	job, side

C Header Interface

#include <nagmk26.h>

void	f08njf_ (const char job, const char side, const Integer n, const Integer ilo, const Integer ihi, const double scal[], const Integer m, double v[], const Integer ldv, Integer info, const Charlen length_job, const Charlen length_side)

The routine may be called by its LAPACK name dgebak.

3

Description

f08njf (dgebak) is intended to be used after a real nonsymmetric matrix

A

has been balanced by f08nhf (dgebal), and eigenvectors of the balanced matrix

A_{22}^{''}

have subsequently been computed.

For a description of balancing, see the document for f08nhf (dgebal). The balanced matrix

A^{''}

is obtained as

A^{''} = D P A P^{T} D^{- 1}

, where

P

is a permutation matrix and

D

is a diagonal scaling matrix. This routine transforms left or right eigenvectors as follows:

if $x$ is a right eigenvector of $A^{''}$ , $P^{T} D^{- 1} x$ is a right eigenvector of $A$ ;
if $y$ is a left eigenvector of $A^{''}$ , $P^{T} D y$ is a left eigenvector of $A$ .

4

References

None.

5

Arguments

1: $job$ – Character(1)Input

On entry: this must be the same argument job as supplied to f08nhf (dgebal).

Constraint:

job ='N'

'P'

'S'

'B'

2: $side$ – Character(1)Input

On entry: indicates whether left or right eigenvectors are to be transformed.

$side ='L'$: The left eigenvectors are transformed.
$side ='R'$: The right eigenvectors are transformed.

Constraint:

side ='L'

'R'

3: $n$ – IntegerInput

On entry:

n

, the number of rows of the matrix of eigenvectors.

Constraint:

n \geq 0

4: $ilo$ – IntegerInput

5: $ihi$ – IntegerInput

On entry: the values

i_{lo}

and

i_{hi}

, as returned by f08nhf (dgebal).

Constraints:

if $n > 0$ , $1 \leq ilo \leq ihi \leq n$ ;
if $n = 0$ , $ilo = 1$ and $ihi = 0$ .

6: $scale (*)$ – Real (Kind=nag_wp) arrayInput

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

\max (1, n)

On entry: details of the permutations and/or the scaling factors used to balance the original real nonsymmetric matrix, as returned by f08nhf (dgebal).

7: $m$ – IntegerInput

On entry:

m

, the number of columns of the matrix of eigenvectors.

Constraint:

m \geq 0

8: $v (ldv *)$ – Real (Kind=nag_wp) arrayInput/Output

Note: the second dimension of the array v must be at least

\max (1, m)

On entry: the matrix of left or right eigenvectors to be transformed.

On exit: the transformed eigenvectors.

9: $ldv$ – IntegerInput

On entry: the first dimension of the array v as declared in the (sub)program from which f08njf (dgebak) is called.

Constraint:

ldv \geq \max (1, n)

10: $info$ – IntegerOutput

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 errors are negligible.

8

Parallelism and Performance

f08njf (dgebak) 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 proportional to

n m

The complex analogue of this routine is f08nwf (zgebak).

10

Example

See Section 10 in f08nhf (dgebal).

NAG Library Manual, Mark 26

NAG AD Library Manual, Mark 26

NAG C Library Manual, Mark 26

F08 (lapackeig) Chapter Contents

F08 (lapackeig) Chapter Introduction

NAG Library Routine Document

f08njf (dgebak)

▸▿ 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

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