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Multicomponent and Multiscale Systems

Theory, Methods, and Applications in Engineering

  • Book
  • © 2016

Overview

Authors:
  1. Juergen Geiser

    1. Department of Electrical Engineering, Ruhr University of Bochum, Bochum, Germany

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  • Reinforces thorough understanding with a well-balanced complement of theory and practical applications

  • Illustrates simulation methods employed in various engineering

  • Strategies and their modifications to structure-preserving approaches

  • Decomposes highly-precise multiscale and multicomponent problems to simpler and more-effectively solvable problems

  • Maximizes reader insights into a wide range of engineering problems, including heat and mass transfer, plasma simulation and hydrodynamic problems with respect to multiscale and multicomponent approaches

  • Includes supplementary material: sn.pub/extras

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Table of contents (5 chapters)

  1. Front Matter

    Pages i-xxvi
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  2. General Principles

    • Juergen Geiser
    Pages 1-31

  3. Theoretical Part: Functional Splitting

    • Juergen Geiser
    Pages 33-43

  4. Algorithmic Part

    • Juergen Geiser
    Pages 45-69

  5. Models and Applications

    • Juergen Geiser
    Pages 71-152

  6. Engineering Applications

    • Juergen Geiser
    Pages 153-290

  7. Back Matter

    Pages 291-325
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Keywords

About this book

This book examines the latest research results from combined multi-component and multi-scale explorations. It provides theory, considers underlying numerical methods and presents brilliant computational experimentation. Engineering computations featured in this monograph further offer particular interest to many researchers, engineers and computational scientists working in frontier modeling and applications of multicomponent and multiscale problems. Professor Geiser gives specific attention to the aspects of decomposing and splitting delicate structures and controlling decomposition and the rationale behind many important applications of multi-component and multi-scale analysis. Multicomponent and Multiscale Systems: Theory, Methods and Applications in Engineering also considers the question of why iterative methods can be powerful and more appropriate for well-balanced multiscale and multicomponent coupled nonlinear problems. The book is ideal for engineers and scientists working in theoretical and applied areas.

Authors and Affiliations

  • Department of Electrical Engineering, Ruhr University of Bochum, Bochum, Germany

    Juergen Geiser

About the author

Juergen Geiser is a Researcher and Lecturer at Ruhr University of Bochum, Department of Electrical Engineering and Information Technology, Bochum, Germany.

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