NAG CL Interface
f12afc (real_​band_​init)

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1 Purpose

f12afc is a setup function for f12agc which may be used for finding some eigenvalues (and optionally the corresponding eigenvectors) of a standard or generalized eigenvalue problem defined by real, banded, nonsymmetric matrices. The banded matrix must be stored using the LAPACK column ordered storage format for real banded nonsymmetric matrices (see Section 3.4.4 in the F07 Chapter Introduction).

2 Specification

#include <nag.h>
void  f12afc (Integer n, Integer nev, Integer ncv, Integer icomm[], Integer licomm, double comm[], Integer lcomm, NagError *fail)
The function may be called by the names: f12afc, nag_sparseig_real_band_init or nag_real_banded_sparse_eigensystem_init.

3 Description

The pair of functions f12afc and f12agc together with the option setting function f12adc are designed to calculate some of the eigenvalues, λ , (and optionally the corresponding eigenvectors, x ) of a standard eigenvalue problem Ax = λx , or of a generalized eigenvalue problem Ax = λBx of order n , where n is large and the coefficient matrices A and B are banded real and nonsymmetric.
f12afc is a setup function which must be called before the option setting function f12adc and the solver function f12agc. Internally, f12agc makes calls to f12abc and f12acc; the function documents for f12abc and f12acc should be consulted for details of the algorithm used.
This setup function initializes the communication arrays, sets (to their default values) all options that can be set by you via the option setting function f12adc, and checks that the lengths of the communication arrays as passed by you are of sufficient length. For details of the options available and how to set them, see Section 11.1 in f12adc.

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: n Integer Input
On entry: the order of the matrix A (and the order of the matrix B for the generalized problem) that defines the eigenvalue problem.
Constraint: n>0.
2: nev Integer Input
On entry: the number of eigenvalues to be computed.
Constraint: 0<nev<n-1.
3: ncv Integer Input
On entry: the number of Lanczos basis vectors to use during the computation.
At present there is no a priori analysis to guide the selection of ncv relative to nev. However, it is recommended that ncv2×nev+1. If many problems of the same type are to be solved, you should experiment with increasing ncv while keeping nev fixed for a given test problem. This will usually decrease the required number of matrix-vector operations but it also increases the work and storage required to maintain the orthogonal basis vectors. The optimal ‘cross-over’ with respect to CPU time is problem dependent and must be determined empirically.
Constraint: nev+1<ncvn.
4: icomm[max(1,licomm)] Integer Communication Array
On exit: contains data to be communicated to f12agc.
5: licomm Integer Input
On entry: the dimension of the array icomm.
If licomm=−1, a workspace query is assumed and the function only calculates the required dimensions of icomm and comm, which it returns in icomm[0] and comm[0] respectively.
Constraint: licomm140 or licomm=−1.
6: comm[max(1,lcomm)] double Communication Array
On exit: contains data to be communicated to f12agc.
7: lcomm Integer Input
On entry: the dimension of the array comm.
If lcomm=−1, a workspace query is assumed and the function only calculates the dimensions of icomm and comm required by f12agc, which it returns in icomm[0] and comm[0] respectively.
Constraint: lcomm60 or lcomm=−1.
8: 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_INT
On entry, n =value.
Constraint: n>0.
On entry, nev =value.
Constraint: nev>0.
NE_INT_2
The length of the integer array comm is too small lcomm =value, but must be at least value.
The length of the integer array icomm is too small licomm =value, but must be at least value.
NE_INT_3
On entry, ncv=value, nev=value and n=value.
Constraint: ncv>nev+1 and ncvn.
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_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

f12afc is not threaded in any implementation.

9 Further Comments

None.

10 Example

The use of f12afc is illustrated in f12agc.