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AuthorRienen, Ursula van. author
TitleNumerical Methods in Computational Electrodynamics [electronic resource] : Linear Systems in Practical Applications / by Ursula van Rienen
ImprintBerlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2001
Connect tohttp://dx.doi.org/10.1007/978-3-642-56802-2
Descript XIII, 375 p. 122 illus., 91 illus. in color. online resource

SUMMARY

treated in more detail. They are just specimen of larger classes of schemes. Esยญ sentially, we have to distinguish between semi-analytical methods, discretizaยญ 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 funcยญ 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 condiยญ 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 apยญ 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)


CONTENT

1.Classical Electrodynamics -- 2. Numerical Field Theory -- 3. Numerical Treatment of Linear Systems -- 4. Applications from Electrical Engineering -- 5. Applications from Accelerator Physics -- Summary -- References -- Symbols


Computer science Computers Numerical analysis Optics Electrodynamics Particle acceleration Engineering Computational intelligence Computer Science Theory of Computation Optics and Electrodynamics Engineering general Numerical Analysis Computational Intelligence Particle Acceleration and Detection Beam Physics



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