Journal of Computational and Applied Mathematics2022,Vol.40416.DOI:10.1016/j.cam.2020.113207

On Bernoulli matrix polynomials and matrix exponential approximation

Defez, E. Ibanez, J. Alonso-Jorda, P. Alonso, Jose M. Peinado, J.
Journal of Computational and Applied Mathematics2022,Vol.40416.DOI:10.1016/j.cam.2020.113207

On Bernoulli matrix polynomials and matrix exponential approximation

Defez, E. 1Ibanez, J. 1Alonso-Jorda, P. 1Alonso, Jose M. 1Peinado, J.1
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作者信息

  • 1. Univ Politecn Valencia
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Abstract

We present in this paper a new method based on Bernoulli matrix polynomials to approximate the exponential of a matrix. The developed method has given rise to two new algorithms whose efficiency and precision are compared to the most efficient implementations that currently exist. For that, a state-of-the-art test matrix battery, that allows deeply exploring the highlights and downsides of each method, has been used. Since the new algorithms proposed here do make an intensive use of matrix products, we also provide a GPUs-based implementation that allows to achieve a high performance thanks to the optimal implementation of matrix multiplication available on these devices. (C)& nbsp;2020 Elsevier B.V. All rights reserved.

Key words

Bernoulli matrix approximation/Matrix exponential function/GPU computing/REAL FUNCTIONS/ALGORITHM/EQUATIONS/COMPUTE

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出版年

2022
Journal of Computational and Applied Mathematics

Journal of Computational and Applied Mathematics

EISCI
ISSN:0377-0427
被引量2
参考文献量36
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