Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8053285 | Applied Mathematics Letters | 2018 | 7 Pages |
Abstract
A novel algorithm is proposed for computing matrix-vector products Aαv, where A is a symmetric positive semidefinite sparse matrix and α>0. The method can be applied for the efficient implementation of the matrix transformation method to solve space-fractional diffusion problems. The performance of the new algorithm is studied in a comparison with the conventional MATLAB subroutines to compute matrix powers.
Keywords
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Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Ferenc Izsák, Béla J. Szekeres,