Journal of Computational and Applied Mathematics2022,Vol.40814.DOI:10.1016/j.cam.2022.114084

New Hermite series expansion for computing the matrix hyperbolic cosine

Defez, E. Ibanez, J. Peinado, J. Alonso-Jorda, P. Alonso, Jose M.
Journal of Computational and Applied Mathematics2022,Vol.40814.DOI:10.1016/j.cam.2022.114084

New Hermite series expansion for computing the matrix hyperbolic cosine

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

  • 1. Univ Politecn Valencia
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Abstract

There are, currently, very few implementations to compute the hyperbolic cosine of a matrix. This work tries to fill this gap. To this end, we first introduce both a new rational-polynomial Hermite matrix expansion and a formula for the forward relative error of Hermite approximation in exact arithmetic with a sharp bound for the forward error. This matrix expansion allows obtaining a new accurate and efficient method for computing the hyperbolic matrix cosine. We present a MATLAB implementation, based on this method, which shows a superior efficiency and a better accuracy than other state -of-the-art methods. The algorithm developed on the basis of this method is also able to run on an NVIDIA GPU thanks to a MEX file that connects the MATLAB implementation to the CUDA code. (C)& nbsp;2022 Elsevier B.V. All rights reserved.

Key words

Hermite matrix approximation/Matrix hyperbolic cosine/Error analysis/GPU computing/POLYNOMIALS/ALGORITHMS

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出版年

2022
Journal of Computational and Applied Mathematics

Journal of Computational and Applied Mathematics

EISCI
ISSN:0377-0427
参考文献量30
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