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Advanced Computing in Industrial Mathematics

12th Annual Meeting of the Bulgarian Section of SIAM December 20-22, 2017, Sofia, Bulgaria Revised Selected Papers

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  • © 2019

Overview

  • Presents cutting-edge research on Advanced Computing in Industrial Mathematics
  • Gathers peer-reviewed, revised papers presented at the 12th Annual Meeting of the Bulgarian Section of the Society for Industrial and Applied Mathematics (BGSIAM), held in Sofia, Bulgaria on December 20–22, 2017
  • Written by prominent experts in the field

Part of the book series: Studies in Computational Intelligence (SCI, volume 793)

Included in the following conference series:

Conference proceedings info: BGSIAM 2017.

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Table of contents (35 chapters)

Keywords

About this book

This book gathers the peer-reviewed proceedings of the 12th Annual Meeting of the Bulgarian Section of the Society for Industrial and Applied Mathematics, BGSIAM’17, held in Sofia, Bulgaria, in December 2017. The general theme of BGSIAM’17 was industrial and applied mathematics, with a particular focus on: high-performance computing, numerical methods and algorithms, analysis of partial differential equations and their applications, mathematical biology, control and uncertain systems, stochastic models, molecular dynamics, neural networks, genetic algorithms, metaheuristics for optimization problems, generalized nets, and Big Data.

Editors and Affiliations

  • Institute of Information and Communication Technology, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Krassimir Georgiev

  • Faculty of Applied Mathematics and Informatics, Technical University of Sofia, Sofia, Bulgaria

    Michail Todorov

  • Institute of Mathematics and Informatics and Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Ivan Georgiev

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