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Lie Algebraic Methods as Mathematical Models for High Performance Computing Using the Multi-agent Approach

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9786))

Abstract

In this paper we discuss some problems of the construction of mathematical models of dynamic processes to effectively carry out computational experiments using high performance computing systems (both parallel and distributed). The suggested approach is based on the Lie algebraic approach and the multi-agents paradigm. The Lie algebraic tools demonstrated high effectiveness in dynamical systems modeling. A matrix presentation for dynamical systems propagation allows to implement a modular representation of the objects of study as well as the corresponding operations. Moreover, the matrix formalism is based upon the multi-agent paradigm for modeling and control of complex systems for physical facilities. The corresponding codes are realized both in symbolic and numerical forms.

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Notes

  1. 1.

    http://www.magenta-technology.ru/.

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Acknowledgements

The work is supported by Saint Petersburg State University (project 0.37.155.2014).

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Correspondence to Nataliia Kulabukhova .

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© 2016 Springer International Publishing Switzerland

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Andrianov, S.N., Kulabukhova, N. (2016). Lie Algebraic Methods as Mathematical Models for High Performance Computing Using the Multi-agent Approach. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2016. ICCSA 2016. Lecture Notes in Computer Science(), vol 9786. Springer, Cham. https://doi.org/10.1007/978-3-319-42085-1_32

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  • DOI: https://doi.org/10.1007/978-3-319-42085-1_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-42084-4

  • Online ISBN: 978-3-319-42085-1

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