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International Multi-Conference on Advanced Computer Systems

ACS 2018: Advances in Soft and Hard Computing pp 229–243Cite as

Algorithmic Decomposition of Tasks with a Large Amount of Data

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 889))

Abstract

The transformation of models and data to the form that allows their decomposition is called algorithmic decomposition. It is a necessary preparatory stage in many applications, allowing us to present data and object models in a form convenient for dividing the processes of solving problems into parallel or sequential stages with significantly less volumes of data. The paper deals with three problems of modeling objects of different nature, in which algorithmic decomposition is an effective tool for reducing the amount of the data being processed and for flexible adjustment of object models performed to improve the accuracy and reliability of the results of computer simulation. The discussion is accompanied by simple examples that allow the reader to offers a clearer view of the essence of the methods presented.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, Zolnierska Str. 52, 71-210, Szczecin, Poland

    Walery Rogoza

  2. Educational and Scientific Complex “Institute of Applied Systems Analysis” - ESC “IASA”, The National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Building 35, Peremogy Av. 37-A, Kiev, 03056, Ukraine

    Ann Ishchenko

Authors
  1. Walery Rogoza
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  2. Ann Ishchenko
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Corresponding authors

Correspondence to Walery Rogoza or Ann Ishchenko .

Editor information

Editors and Affiliations

  1. West Pomeranian University of Technology in Szczecin, Szczecin, Poland

    Jerzy Pejaś

  2. West Pomeranian University of Technology in Szczecin , Szczecin, Poland

    Imed El Fray

  3. West Pomeranian University of Technology in Szczecin, Szczecin, Poland

    Tomasz Hyla

  4. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    Janusz Kacprzyk

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Rogoza, W., Ishchenko, A. (2019). Algorithmic Decomposition of Tasks with a Large Amount of Data. In: Pejaś, J., El Fray, I., Hyla, T., Kacprzyk, J. (eds) Advances in Soft and Hard Computing. ACS 2018. Advances in Intelligent Systems and Computing, vol 889. Springer, Cham. https://doi.org/10.1007/978-3-030-03314-9_21

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