| Mathematical and Numerical Modelling in Electrical Engineering Theory and Applications 1996 Edition Contributor(s): Krízek, Michal (Author), Neittaanmäki, Pekka (Author) |
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ISBN: 0792342496 ISBN-13: 9780792342496 Publisher: Springer
Binding Type: Hardcover - See All Available Formats & Editions Published: September 1996 Annotation: The main aim of this book is twofold. Firstly, it shows engineers why it is useful to deal with, for example, Hilbert spaces, imbedding theorems, weak convergence, monotone operators, compact sets, when solving real-life technical problems. Secondly, mathematicians will see the importance and necessity of dealing with material anisotropy, inhomogeneity, nonlinearity and complicated geometrical configurations of electrical devices, which are not encountered when solving academic examples with the Laplace operator on square or ball domains.Mathematical and numerical analysis of several important technical problems arising in electrical engineering are offered, such as computation of magnetic and electric field, nonlinear heat conduction and heat radiation, semiconductor equations, Maxwell equations and optimal shape design of electrical devices.The reader is assumed to be familiar with linear algebra, real analysis and basic numerical methods.Audience: This volume will be of interest to mathematicians and engineers whose work involves numerical analysis, partial differential equations, mathematical modelling and industrial mathematics, or functional analysis. Click for more in this series: Mathematical Modelling: Theory and Applications |
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| Additional Information |
| BISAC Categories: - Mathematics | Number Systems - Mathematics | Functional Analysis - Mathematics | Counting & Numeration |
| Dewey: 621.301 |
| LCCN: 96035769 |
| Series: Mathematical Modelling: Theory and Applications |
| Physical Information: 0.75" H x 6.14" W x 9.21" L (1.39 lbs) 300 pages |
| Features: Bibliography, Glossary, Illustrated, Index |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |
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