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Algorithms as a Basis of Modern Applied Mathematics

  • Book
  • © 2021

Overview

  • Offers a timely snapshot of algorithms application in various research areas
  • Proposes solution to a set of current limitations
  • Provides a comprehensive view of algorithm applications

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 404)

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Table of contents (26 chapters)

Keywords

About this book

This book offers a self-contained guide to advanced algorithms and their applications in various fields of science. Gathering contributions by authoritative researchers in the field of mathematics, statistics and computer science, it aims at offering a comprehensive and up-to-date view of algorithms, including the theory behind them, as well as practical considerations, current limitations and solutions. It covers applications in energy management, decision making, computer networks, materials science, mechanics and process optimization. It offers an integrated and timely guide to important algorithms, and represents a valuable reference resource for graduate students and researchers in various fields of applied mathematics, statistics and engineering. 

Editors and Affiliations

  • Department of Mathematics and Physics, Faculty of Military Technology, University of Defence, Brno, Czech Republic

    Šárka Hošková-Mayerová

  • Faculty of Mathematics and Computer Science, Ovidius University, Constanta, Romania

    Cristina Flaut

  • Department of Mathematics and Physics, University of Campania “Luigi Vanvitelli”, Caserta, Italy

    Fabrizio Maturo

Bibliographic Information

  • Book Title: Algorithms as a Basis of Modern Applied Mathematics

  • Editors: Šárka Hošková-Mayerová, Cristina Flaut, Fabrizio Maturo

  • Series Title: Studies in Fuzziness and Soft Computing

  • DOI: https://doi.org/10.1007/978-3-030-61334-1

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

  • Hardcover ISBN: 978-3-030-61333-4Published: 14 January 2021

  • Softcover ISBN: 978-3-030-61336-5Published: 14 January 2022

  • eBook ISBN: 978-3-030-61334-1Published: 13 January 2021

  • Series ISSN: 1434-9922

  • Series E-ISSN: 1860-0808

  • Edition Number: 1

  • Number of Pages: XIII, 509

  • Number of Illustrations: 41 b/w illustrations, 92 illustrations in colour

  • Topics: Computational Intelligence, Theory of Computation

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