Algorithmic Decomposition of Tasks with a Large Amount of Data

  • Walery RogozaEmail author
  • Ann IshchenkoEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 889)


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.


Algorithmic decomposition Model reduction Time series Complex objects Computer simulation 


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Faculty of Computer Science and Information TechnologyWest Pomeranian University of TechnologySzczecinPoland
  2. 2.Educational and Scientific Complex “Institute of Applied Systems Analysis” - ESC “IASA”The National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”KievUkraine

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