f12ar: FL CL CPP AD PY MB

NAG CL Interface
f12arc (complex_option)

Note: this function uses optional parameters to define choices in the problem specification. If you wish to use default settings for all of the optional parameters, then this function need not be called. If, however, you wish to reset some or all of the settings please refer to Section 11 for a detailed description of the specification of the optional parameters.

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NAG Library Manual, Mark 30.3

Interfaces: FL CL CPP AD PY MB

NAG CL Interface Introduction

F12 (Sparseig) Chapter Contents

F12 (Sparseig) Chapter Introduction

f12ar: FL CL CPP AD PY MB

▸▿ 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

▸▿ 11 Optional Parameters

11.1 Description of the Optional Parameters

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1 Purpose

f12arc is an option setting function in a suite of functions consisting of f12anc, f12apc, f12aqc, f12arc and f12asc; it supplies individual optional parameters to f12apc and f12aqc. f12arc is also an option setting function in a suite of functions consisting of f12arc, f12atc and f12auc; it supplies individual optional parameters to f12auc.

The initialization function for the appropriate suite, f12anc or f12atc, must have been called prior to calling f12arc.

2 Specification

#include <nag.h>

void	f12arc (const char str, Integer icomm[], Complex comm[], NagError fail)

The function may be called by the names: f12arc, nag_sparseig_complex_option or nag_complex_sparse_eigensystem_option.

3 Description

f12arc may be used to supply values for optional parameters to f12apc and f12aqc, or to f12auc. It is only necessary to call f12arc for those arguments whose values are to be different from their default values. One call to f12arc sets one argument value.

Each optional parameter is defined by a single character string consisting of one or more items. The items associated with a given option must be separated by spaces, or equals signs

[=]

. Alphabetic characters may be upper or lower case. The string

Iteration Limit = 500

is an example of a string used to set an optional parameter. For each option the string contains one or more of the following items:

–a mandatory keyword;
–a phrase that qualifies the keyword;
–a number that specifies an Integer or double value. Such numbers may be up to $16$ contiguous characters in C's d or g format.

f12arc does not have an equivalent function from the ARPACK package which passes options by directly setting values to scalar arguments or to specific elements of array arguments. f12arc is intended to make the passing of options more transparent and follows the same principle as the single option setting functions in Chapter E04 (see e04nsc for an example).

The setup function f12anc or f12atc must be called prior to the first call to f12arc, and all calls to f12arc must precede the first call to f12apc and f12auc.

A complete list of optional parameters, their abbreviations, synonyms and default values is given in Section 11.

4 References

Lehoucq R B (2001) Implicitly restarted Arnoldi methods and subspace iteration SIAM Journal on Matrix Analysis and Applications 23 551–562

Lehoucq R B and Scott J A (1996) An evaluation of software for computing eigenvalues of sparse nonsymmetric matrices Preprint MCS-P547-1195 Argonne National Laboratory

Lehoucq R B and Sorensen D C (1996) Deflation techniques for an implicitly restarted Arnoldi iteration SIAM Journal on Matrix Analysis and Applications 17 789–821

Lehoucq R B, Sorensen D C and Yang C (1998) ARPACK Users' Guide: Solution of Large-scale Eigenvalue Problems with Implicitly Restarted Arnoldi Methods SIAM, Philadelphia

5 Arguments

1: $str$ – const char * Input: On entry: a single valid option string (as described in Section 3 and Section 11).
2: $icomm [\dim]$ – Integer Communication Array: Note: the actual argument supplied must be the array icomm supplied to the initialization routines f12anc f12atc.

On initial entry: must remain unchanged following a call to the setup function f12anc or f12atc.

On exit: contains data on the current options set.
3: $comm [\dim]$ – Complex Communication Array: Note: the actual argument supplied must be the array comm supplied to the initialization routines f12anc f12atc.

On initial entry: must remain unchanged following a call to the setup function f12anc or f12atc.

On exit: contains data on the current options set.
4: $fail$ – NagError * Input/Output: The NAG error argument (see Section 7 in the Introduction to the NAG Library CL Interface).

6 Error Indicators and Warnings

NE_ALLOC_FAIL: Dynamic memory allocation failed.
See Section 3.1.2 in the Introduction to the NAG Library CL Interface for further information.
NE_BAD_PARAM: On entry, argument $⟨ value ⟩$ had an illegal value.
NE_INITIALIZATION: Either the initialization function has not been called prior to the call of this function or a communication array has become corrupted.
NE_INTERNAL_ERROR: An internal error has occurred in this function. Check the function call and any array sizes. If the call is correct then please contact NAG for assistance.
See Section 7.5 in the Introduction to the NAG Library CL Interface for further information.
NE_INVALID_OPTION: Ambiguous keyword: $⟨ value ⟩$

Keyword not recognized: $⟨ value ⟩$

Second keyword not recognized: $⟨ value ⟩$
NE_NO_LICENCE: Your licence key may have expired or may not have been installed correctly.
See Section 8 in the Introduction to the NAG Library CL Interface for further information.

7 Accuracy

Not applicable.

8 Parallelism and Performance

Background information to multithreading can be found in the Multithreading documentation.

f12arc is not threaded in any implementation.

9 Further Comments

None.

10 Example

This example solves

A x = λ B x

in shifted-inverse mode, where

A

and

B

are derived from the finite element discretization of the one-dimensional convection-diffusion operator

\frac{d^{2} u}{d x^{2}} + ρ \frac{d u}{d x}

on the interval

[0, 1]

, with zero Dirichlet boundary conditions.

11 Optional Parameters

Several optional parameters for the computational suite functions f12apc and f12aqc, and for the banded driver f12auc, define choices in the problem specification or the algorithm logic. In order to reduce the number of formal arguments of f12apc, f12aqc and f12auc these optional parameters have associated default values that are appropriate for most problems. Therefore, you need only specify those optional parameters whose values are to be different from their default values.

The remainder of this section can be skipped if you wish to use the default values for all optional parameters.

The following is a list of the optional parameters available. A full description of each optional parameter is provided in Section 11.1.

Optional parameters may be specified by calling f12arc before a call to f12apc or f12auc, but after a corresponding call to f12anc or f12atc. One call is necessary for each optional parameter. Any optional parameters you do not specify are set to their default values. Optional parameters you do specify are unaltered by f12apc, f12aqc and f12auc (unless they define invalid values) and so remain in effect for subsequent calls unless you alter them.

11.1 Description of the Optional Parameters

For each option, we give a summary line, a description of the optional parameter and details of constraints.

The summary line contains:

the keywords, where the minimum abbreviation of each keyword is underlined;
a parameter value, where the letters $a$ , $i$ and $r$ denote options that take character, integer and real values respectively;
the default value, where the symbol $ε$ is a generic notation for machine precision (see X02AJC).

Keywords and character values are case and white space insensitive.

Optional parameters used to specify files (e.g.,

Advisory

and

Monitoring

) have type Nag_FileID. This ID value must either be set to

0

(the default value) in which case there will be no output, or will be as returned by a call of x04acc.

Advisory

Default

= 0

(See Section 3.1.1 in the Introduction to the NAG Library CL Interface for further information on NAG data types.)

Advisory messages are output to Nag_FileID

Advisory

during the solution of the problem.

Defaults

This special keyword may be used to reset all optional parameters to their default values.

Exact Shifts

Default

Supplied Shifts

During the Arnoldi iterative process, shifts are applied as part of the implicit restarting scheme. The shift strategy used by default and selected by the optional parameter

Exact Shifts

is strongly recommended over the alternative

Supplied Shifts

and will always be used by f12auc.

Exact Shifts

are used then these are computed internally by the algorithm in the implicit restarting scheme. This strategy is generally effective and cheaper to apply in terms of number of operations than using explicit shifts.

Supplied Shifts

are used then, during the Arnoldi iterative process, you must supply shifts through array arguments of f12apc when f12apc returns with

irevcm = 3

; the complex shifts are supplied in y. This option should only be used if you are an experienced user since this requires some algorithmic knowledge and because more operations are usually required than for the implicit shift scheme. Details on the use of explicit shifts and further references on shift strategies are available in Lehoucq et al. (1998).

Iteration Limit

i

Default

= 300

The limit on the number of Arnoldi iterations that can be performed before f12apc or f12auc exits. If not all requested eigenvalues have converged to within

Tolerance

and the number of Arnoldi iterations has reached this limit then f12apc or f12auc exits with an error; f12auc returns the number of converged eigenvalues, the converged eigenvalues and, if requested, the corresponding eigenvectors, while f12aqc can be called subsequent to f12apc to do the same.

Largest Magnitude

Default

Largest Imaginary

Largest Real

Smallest Imaginary

Smallest Magnitude

Smallest Real

The Arnoldi iterative method converges on a number of eigenvalues with given properties. The default is for f12apc or f12auc to compute the eigenvalues of largest magnitude using

Largest Magnitude

. Alternatively, eigenvalues may be chosen which have

Largest Real

part,

Largest Imaginary

part,

Smallest Magnitude

Smallest Real

part or

Smallest Imaginary

part.

Note that these options select the eigenvalue properties for eigenvalues of

op

(and

B

for

Generalized

problems), the linear operator determined by the computational mode and problem type.

Nolist

Default

List

Optional parameter

List

enables printing of each optional parameter specification as it is supplied.

Nolist

suppresses this printing.

Monitoring

Default

= −1

(See Section 3.1.1 in the Introduction to the NAG Library CL Interface for further information on NAG data types.)

Unless

Monitoring

is set to

−1

(the default), monitoring information is output to Nag_FileID

Monitoring

during the solution of each problem; this may be the same as

Advisory

. The type of information produced is dependent on the value of

Print Level

, see the description of the optional parameter

Print Level

in this section for details of the information produced. Please see x04acc to associate a file with a given Nag_FileID.

Print Level

i

Default

= 0

This controls the amount of printing produced by f12arc as follows.

$i$	Output
$= 0$	No output except error messages.
$> 0$	The set of selected options.
$= 2$	Problem and timing statistics on final exit from f12apc or f12auc.
$\geq 5$	A single line of summary output at each Arnoldi iteration.
$\geq 10$	If $Monitoring$ is set, then at each iteration, the length and additional steps of the current Arnoldi factorization and the number of converged Ritz values; during re-orthogonalization, the norm of initial/restarted starting vector.
$\geq 20$	Problem and timing statistics on final exit from f12apc. If $Monitoring$ is set, then at each iteration, the number of shifts being applied, the eigenvalues and estimates of the Hessenberg matrix $H$ , the size of the Arnoldi basis, the wanted Ritz values and associated Ritz estimates and the shifts applied; vector norms prior to and following re-orthogonalization.
$\geq 30$	If $Monitoring$ is set, then on final iteration, the norm of the residual; when computing the Schur form, the eigenvalues and Ritz estimates both before and after sorting; for each iteration, the norm of residual for compressed factorization and the compressed upper Hessenberg matrix $H$ ; during re-orthogonalization, the initial/restarted starting vector; during the Arnoldi iteration loop, a restart is flagged and the number of the residual requiring iterative refinement; while applying shifts, the indices of the shifts being applied.
$\geq 40$	If $Monitoring$ is set, then during the Arnoldi iteration loop, the Arnoldi vector number and norm of the current residual; while applying shifts, key measures of progress and the order of $H$ ; while computing eigenvalues of $H$ , the last rows of the Schur and eigenvector matrices; when computing implicit shifts, the eigenvalues and Ritz estimates of $H$ .
$\geq 50$	If $Monitoring$ is set, then during Arnoldi iteration loop: norms of key components and the active column of $H$ , norms of residuals during iterative refinement, the final upper Hessenberg matrix $H$ ; while applying shifts: number of shifts, shift values, block indices, updated matrix $H$ ; while computing eigenvalues of $H$ : the matrix $H$ , the computed eigenvalues and Ritz estimates.

Random Residual

Default

Initial Residual

To begin the Arnoldi iterative process, f12apc or f12auc requires an initial residual vector. By default f12apc or f12auc provides its own random initial residual vector; this option can also be set using optional parameter

Random Residual

. Alternatively, you can supply an initial residual vector (perhaps from a previous computation) to f12apc or f12auc through the array argument resid; this option can be set using optional parameter

Initial Residual

Regular

Default

Regular Inverse

Shifted Inverse

These options define the computational mode which in turn defines the form of operation

op (x)

to be performed by f12auc or when f12apc returns with

irevcm = −1

1

and the matrix-vector product

B x

when f12apc returns with

irevcm = −2

Given a

Standard

eigenvalue problem in the form

A x = λ x

then the following modes are available with the appropriate operator

op (x)

$Regular$	$op = A$
$Shifted Inverse$	$op = {(A - σ I)}^{−1}$

Given a

Generalized

eigenvalue problem in the form

A x = λ B x

then the following modes are available with the appropriate operator

op (x)

$Regular Inverse$	$op = B^{- 1} A$
$Shifted Inverse$	$op = {(A - σ B)}^{−1} B$

Standard

Default

Generalized

The problem to be solved is either a standard eigenvalue problem,

A x = λ x

, or a generalized eigenvalue problem,

A x = λ B x

. The optional parameter

Standard

should be used when a standard eigenvalue problem is being solved and the optional parameter

Generalized

should be used when a generalized eigenvalue problem is being solved.

Tolerance

r

Default

= ε

An approximate eigenvalue has deemed to have converged when the corresponding Ritz estimate is within

Tolerance

relative to the magnitude of the eigenvalue.

Vectors

Default

= RITZ

The function f12aqc or f12auc can optionally compute the Schur vectors and/or the eigenvectors corresponding to the converged eigenvalues. To turn off computation of any vectors the option

Vectors = NONE

should be set. To compute only the Schur vectors (at very little extra cost), the option

Vectors = SCHUR

should be set and these will be returned in the array argument v of f12aqc or f12auc. To compute the eigenvectors (Ritz vectors) corresponding to the eigenvalue estimates, the option

Vectors = RITZ

should be set and these will be returned in the array argument z of f12aqc or f12auc, if z is set equal to v then the Schur vectors in v are overwritten by the eigenvectors computed by f12aqc or f12auc.

NAG Library Manual, Mark 30.3

Interfaces: FL CL CPP AD PY MB

NAG CL Interface Introduction

F12 (Sparseig) Chapter Contents

F12 (Sparseig) Chapter Introduction

f12ar: FL CL CPP AD PY MB