Numerical Methods in Computational Electrodynamics: Linear Systems in Practical Applications

Van Rienen, Ursula/ Griebel, M. (Editor)/ Keyes, David E. (Editor)/ Nieminen, R. M. (Editor)/ Roose, D. (Editor)/ Schlick, T. (Editor)/ Rienen, U. Van

ISBN 10: 3540676295 / ISBN 13: 9783540676294

Published by Springer Verlag, 2001

About this Item

1st edition. 375 pages. 9.25x6.25x0.50 inches. In Stock.

Seller Inventory # x-3540676295

Bibliographic Details

• Title: Numerical Methods in Computational Electrodynamics: Linear Systems in Practical Applications
• Publisher: Springer Verlag
• Publication Date: 2001
• Language: English
• ISBN 10: 3540676295
• ISBN 13: 9783540676294
• Binding: Paperback
• Condition: Brand New
• Weight: 0.62 kilograms

About this title

Synopsis

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).