Numerical Methods in Computational Electrodynamics: Linear Systems in Practical Applications

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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).

Author(s): Ursula van Rienen (auth.)
Series: Lecture Notes in Computational Science and Engineering 12
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2001

Language: English
Pages: 375
Tags: Numerical Analysis;Computational Intelligence;Particle Acceleration and Detection, Beam Physics;Theoretical, Mathematical and Computational Physics;Electrical Engineering

Front Matter....Pages I-XIII
Introduction....Pages 1-9
Classical Electrodynamics....Pages 11-34
Numerical Field Theory....Pages 35-81
Numerical Treatment of Linear Systems....Pages 83-203
Applications from Electrical Engineering....Pages 205-241
Applications from Accelerator Physics....Pages 243-333
Summary....Pages 335-336
Back Matter....Pages 337-379