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Numerical Methods in Computational Electrodynamics

Linear Systems in Practical Applications

  • Book
  • © 2001

Overview

Authors:
  1. Ursula Rienen

    1. Fachbereich Elektrotechnik und Informationstechnik, Universität Rostock, Rostock, Germany

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  • The book combines numerical, physical and engineering aspects of particle accelerator design
  • Includes supplementary material: sn.pub/extras

Part of the book series: Lecture Notes in Computational Science and Engineering (LNCSE, volume 12)

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Table of contents (7 chapters)

  1. Front Matter

    Pages I-XIII
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  2. Introduction

    • Ursula van Rienen
    Pages 1-9

  3. Classical Electrodynamics

    • Ursula van Rienen
    Pages 11-34

  4. Numerical Field Theory

    • Ursula van Rienen
    Pages 35-81

  5. Numerical Treatment of Linear Systems

    • Ursula van Rienen
    Pages 83-203

  6. Applications from Electrical Engineering

    • Ursula van Rienen
    Pages 205-241

  7. Applications from Accelerator Physics

    • Ursula van Rienen
    Pages 243-333

  8. Summary

    • Ursula van Rienen
    Pages 335-336

  9. Back Matter

    Pages 337-379
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Keywords

About this book

treated in more detail. They are just specimen of larger classes of schemes. Es­ sentially, we have to distinguish between semi-analytical methods, discretiza­ tion methods, and lumped circuit models. The semi-analytical methods and the discretization methods start directly from Maxwell's equations. Semi-analytical methods are concentrated on the analytical level: They use a computer only to evaluate expressions and to solve resulting linear algebraic problems. The best known semi-analytical methods are the mode matching method, which is described in subsection 2. 1, the method of integral equations, and the method of moments. In the method of integral equations, the given boundary value problem is transformed into an integral equation with the aid of a suitable Greens' function. In the method of moments, which includes the mode matching method as a special case, the solution function is represented by a linear combination of appropriately weighted basis func­ tions. The treatment of complex geometrical structures is very difficult for these methods or only possible after geometric simplifications: In the method of integral equations, the Greens function has to satisfy the boundary condi­ tions. In the mode matching method, it must be possible to decompose the domain into subdomains in which the problem can be solved analytically, thus allowing to find the basis functions. Nevertheless, there are some ap­ plications for which the semi-analytic methods are the best suited solution methods. For example, an application from accelerator physics used the mode matching technique (see subsection 5. 4).

Authors and Affiliations

  • Fachbereich Elektrotechnik und Informationstechnik, Universität Rostock, Rostock, Germany

    Ursula Rienen

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