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Optimization and Inverse Problems in Electromagnetism [Hardcover]

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  • Category: Books (Science)
  • ISBN-10:  1402015062
  • ISBN-10:  1402015062
  • ISBN-13:  9781402015069
  • ISBN-13:  9781402015069
  • Publisher:  Springer
  • Publisher:  Springer
  • Pages:  360
  • Pages:  360
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Feb-2003
  • Pub Date:  01-Feb-2003
  • SKU:  1402015062-11-SPRI
  • SKU:  1402015062-11-SPRI
  • Item ID: 100848620
  • List Price: $109.99
  • Seller: ShopSpell
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From 12 to 14 September 2002, the Academy of Humanities and Economics (AHE) hosted the workshop Optimization and Inverse Problems in Electromagnetism . After this bi-annual event, a large number of papers were assembled and combined in this book. During the workshop recent developments and applications in optimization and inverse methodologies for electromagnetic fields were discussed. The contributions selected for the present volume cover a wide spectrum of inverse and optimal electromagnetic methodologies, ranging from theoretical to practical applications. A number of new optimal and inverse methodologies were proposed. There are contributions related to dedicated software.

Optimization and Inverse Problems in Electromagnetism consists of three thematic chapters, covering:
-General papers (survey of specific aspects of optimization and inverse problems in electromagnetism),
-Methodologies,
-Industrial Applications.

The book can be useful to students of electrical and electronics engineering, computer science, applied mathematics (PhD level) and to researchers interested in the topic.1. General Papers.- How to Find New and Fresh Ideas.- Mimicking Nature: How Nature Inspires Methodologies in Computational Electromagnetics.- Comparing Stochastic Methods on SMES Optimization.- 2. Methodology.- Using Quasi Random Sequences in Genetic Algorithms.- Symbolic Treatment on Equation Based Models to Prepare Code Generation for Optimization Process.- Multiobjective Shape Design in Electromechanics: A Contribution to Benchmarking.- A New Method for Optimizing the Designing of Grounding Grids.- Solving ODE for Optimization: Specific Use of the Matrix Approach.- Use of Discretization and Solution History in Stochastic Optimization.- A Genetic Algorithm Method for Determining the Maximum Touch Voltage Generated by a Grounding System.- Optimization Techniques Benefits for Magnetic Coml³(
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