Inverse Problems and Optimal Design in Electricity and Magnetism

P. Neittaanmäki, M. Rudnicki, A. Savini

ISBN 10: 019859383X / ISBN 13: 9780198593836

Published by Oxford University Press, GB, 1996

About this Item

In the last thirty years optimization theory has been extensively applied to the optimal design of mechanical structures and, in general, to the solution of inverse problems in structural mechanics. In electromagnetism, however, the impact of optimization methods is much more recent. The present book is the first one on the subject of inverse problems and optimal design in electricity and magnetism. Filling this gap in the literature was the primary goal of the authors. The secondary one was to provide a comprehensive reference book offering a broad view of the subject ranging from theory to computer implementations. Having this in mind, the authors tried to write a book which might serve as a textbook for graduate students in electrical engineering as well as a reference for applied mathematicians and researchers. Possible applications pertain to a great many different areas: electrical machines, high voltage engineering, nuclear magnetic resonance spectrography, electron optics, plasma techniques, etc.

Seller Inventory # LU-9780198593836

Bibliographic Details

• Title: Inverse Problems and Optimal Design in Electricity and Magnetism
• Publisher: Oxford University Press, GB
• Publication Date: 1996
• Language: English
• ISBN 10: 019859383X
• ISBN 13: 9780198593836
• Binding: Hardback
• Condition: New
• Weight: 697 grams

About this title

Synopsis

The optimization theory has been extensively applied to mechanical engineering and the solution of inverse problems in structural mechanics, but its use in electromagnetism is much more recent. This is the first book to explore optimal design in electricity and magnetism. Besides filling this gap in the literature, it also provides a comprehensive reference book for applied mathematicians and researchers, offering a broad view of the subject from theory to computer implementations.

About the Author

P. Neittaanmäki is at University of Jyväskylä. M. Rudnicki is at Institute of Electrical Engineering, Warsaw.