descriptionPublicationkeyboard_double_arrow_right Article 01 Feb 2016 English Publisher:Elsevier BVJournal:Applied Mathematical Modelling, volume 40, pages 2,837-2,844 (issn: 0307-904X,

Authors: Defez, Emilio; Sastre, Jorge; Ibáñez, Javier; Peinado, Jesús;

doi: 10.1016/j.apm.2015.09.050

Solving engineering models using hyperbolic matrix functions

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Abstract

In this paper a method for computing hyperbolic matrix functions based on Hermite matrix polynomial expansions is outlined. Hermite series truncation together with Paterson-Stockmeyer method allow to compute the hyperbolic matrix cosine efficiently. A theoretical estimate for the optimal value of its parameters is obtained. An efficient and highly-accurate Hermite algorithm and a MATLAB implementation have been developed. The MATLAB implementation has been compared with the MATLAB function funm on matrices of different dimensions, obtaining lower execution time and higher accuracy in most cases. To do this we used an NVIDIA Tesla K20 GPGPU card, the CUDA environment and MATLAB. With this implementation we get much better performance for large scale problems. (C) 2015 Elsevier Inc. All rights reserved.

This work has been supported by Spanish Ministerio de Educacion TIN2014-59294-P.

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Keywords

Numerical computation of matrix exponential and similar matrix functions, hyperbolic matrix functions, Hyperbolic matrix functions, Hermite matrix polynomial, Initial-boundary value problems for second-order hyperbolic systems, Matrix exponential and similar functions of matrices, TEORIA DE LA SEÑAL Y COMUNICACIONES, CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL, Series expansion, MATEMATICA APLICADA, LENGUAJES Y SISTEMAS INFORMATICOS, series expansion

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