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Euler polynomials for the matrix exponential approximation

delete2023-06-01
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J
José M. Alonso
J
Javier Ibáñez
E
Emilio Defez
P
Pedro Alonso *
DOI:10.1016/j.cam.2023.115074delete
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Abstract

Abstract

En 中文
In this work, a new method to compute the matrix exponential function by using an approximation based on Euler polynomials is proposed. These polynomials are used in combination with the scaling and squaring technique, considering an absolute forward-type theoretical error. Its numerical and computational properties have been evaluated and compared with the most current and competitive codes dedicated to the computation of the matrix exponential. Under a heterogeneous test battery and a set of exhaustive experiments, it has been demonstrated that the new method offers performance in terms of accuracy and stability which is as good as or even better than those of the considered methods, with an intermediate computational cost among all of them. All of the above makes this a very competitive alternative that should be considered in the growing list of available numerical methods and implementations dedicated to the approximation of the matrix exponential.(c) 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Keywords:
Matrix functions
Matrix exponential
Euler polynomials
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Journal

Applied and Computational Mathematics cover
Applied and Computational Mathematics
IF:
4.3
Papers:
354
Citations:
593

Organization

U
Universitat Politecnica de Valencia
Scholars:
1.5W
Papers: 1.4W
Citations: 18
C
consejo superior de investigaciones cientificas (csic)
Scholars:
8.8W
Papers: 8.5W
Citations: 125
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