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＜電子ブック＞
Mathematical and Numerical Modelling in Electrical Engineering Theory and Applications / by Michal Krízek, Pekka Neittaanmäki
(Mathematical Modelling: Theory and Applications ; 1)

版	1st ed. 1996.
出版者	Dordrecht : Springer Netherlands : Imprint: Springer
出版年	1996
本文言語	英語
大きさ	XIII, 300 p : online resource
著者標目	*Krízek, Michal author Neittaanmäki, Pekka author SpringerLink (Online service)
件　名	LCSH:Mathematics -- Data processing  全ての件名で検索 LCSH:Differential equations LCSH:Mathematical models LCSH:Functional analysis LCSH:Mathematics FREE:Computational Mathematics and Numerical Analysis FREE:Differential Equations FREE:Mathematical Modeling and Industrial Mathematics FREE:Functional Analysis FREE:Applications of Mathematics
一般注記	1. Introduction -- 2. Mathematical modelling of physical phenomena -- 3. Mathematical background -- 4. Finite elements -- 5. Conjugate gradients -- 6. Magnetic potential of transformer window -- 7. Calculation of nonlinear stationary magnetic fields -- 8. Steady-state radiation heat transfer problem -- 9. Nonlinear anisotropic heat conduction in a transformer magnetic core -- 10. Stationary semiconductor equations -- 11. Nonstationary heat conduction in a stator -- 12. The time-harmonic Maxwell equations -- 13. Approximation of the Maxwell equations in anisotropic inhomogeneous media -- 14. Methods for optimal shape design of electrical devices -- References -- Author index Mathematical modeling plays an essential role in science and engineering. Costly and time consuming experiments (if they can be done at all) are replaced by computational analysis. In industry, commercial codes are widely used. They are flexible and can be adjusted for solving specific problems of interest. Solving large problems with tens or hundreds of thousands unknowns becomes routine. The aim of analysis is to predict the behavior of the engineering and physical reality usually within the constraints of cost and time. Today, human cost and time are more important than computer cost. This trend will continue in the future. Agreement between computational results and reality is related to two factors, namely mathematical formulation of the problems and the accuracy of the numerical solution. The accuracy has to be understood in the context of the aim of the analysis. A small error in an inappropriate norm does not necessarily mean that the computed results are usable for practical purposes HTTP:URL=https://doi.org/10.1007/978-94-015-8672-6

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