Monte Carlo methods for electromagnetics

Bibliographic Information

Monte Carlo methods for electromagnetics

by Matthew N.O. Sadiku

CRC Press, c2009

  • : hbk

Available at  / 6 libraries

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Formerly CIP Uk

Includes bibliographical references and index

Description and Table of Contents

Description

Until now, novices had to painstakingly dig through the literature to discover how to use Monte Carlo techniques for solving electromagnetic problems. Written by one of the foremost researchers in the field, Monte Carlo Methods for Electromagnetics provides a solid understanding of these methods and their applications in electromagnetic computation. Including much of his own work, the author brings together essential information from several different publications. Using a simple, clear writing style, the author begins with a historical background and review of electromagnetic theory. After addressing probability and statistics, he introduces the finite difference method as well as the fixed and floating random walk Monte Carlo methods. The text then applies the Exodus method to Laplace's and Poisson's equations and presents Monte Carlo techniques for handing Neumann problems. It also deals with whole field computation using the Markov chain, applies Monte Carlo methods to time-varying diffusion problems, and explores wave scattering due to random rough surfaces. The final chapter covers multidimensional integration. Although numerical techniques have become the standard tools for solving practical, complex electromagnetic problems, there is no book currently available that focuses exclusively on Monte Carlo techniques for electromagnetics. Alleviating this problem, this book describes Monte Carlo methods as they are used in the field of electromagnetics.

Table of Contents

Introduction. Probability and Statistics. Finite Difference Method. Fixed Random Walk. Floating Random Walk. The Exodus Method. Neumann Problems. Whole Field Computation. Time-Varying Problems. Scattering from Random Rough Surfaces. Multidimensional Integration.

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