John Wiley & Sons Computational Methods for Electromagnetics Cover Computational Methods for Electromagnetics is an indispensable resource for making efficient and acc.. Product #: 978-0-7803-1122-0 Regular price: $198.13 $198.13 In Stock

Computational Methods for Electromagnetics

Peterson, Andrew F. / Ray, Scott L. / Mittra, Raj

IEEE/OUP Series on Electromagnetic Wave Theory (formerly IEEE only), Series Editor: Donald G. Dudley.

Cover

1. Edition December 1997
592 Pages, Hardcover
Wiley & Sons Ltd

ISBN: 978-0-7803-1122-0
John Wiley & Sons

Computational Methods for Electromagnetics is an
indispensable resource for making efficient and accurate
formulations for electromagnetics applications and their numerical
treatment. Employing a unified coherent approach that is unmatched
in the field, the authors detail both integral and differential
equations using the method of moments and finite-element
procedures. In addition, readers will gain a thorough understanding
of numerical solution procedures.

Topics covered include:

* Two- and three-dimensional integral equation/method-of-moments
formulations

* Open-region finite-element formulations based on the scalar and
vector Helmholtz equations

* Finite difference time-domain methods

* Direct and iterative algorithms for the solutions of linear
systems

* Error analysis and the convergence behavior of numerical
results

* Radiation boundary conditions

* Acceleration methods for periodic Green's functions

* Vector finite elements

Detail is provided to enable the reader to implement concepts in
software and, in addition, a collection of related computer
programs are available via the Internet. Computational Methods
for Electromagnetics is designed for graduate-level classroom
use or self-study, and every chapter includes problems. It will
also be of particular interest to engineers working in the
aerospace, defense, telecommunications, wireless, electromagnetic
compatibility, and electronic packaging industries.

Preface.

Acknowledgments.

Electromagnetic Theory.

Integral Equation Methods for Scattering from Infinite
Cylinders.

Differential Equation Methods for Scattering from Infinite
Cylinders.

Algorithms for the Solution of Linear Systems of Equations.

The Discretization Process.

Basis/Testing Functions and Convergence.

Alternative Surface Integral Equation Formulations.

Strip Gratings and Other Two-Dimensional Structures with
One-Dimensional Periodicity.

Three-Dimensional problems with Translational or Rotational
Symmetry.

Subsectional Basis Functions for MultiDimensional and Vector
Problems.

Integral Equation Methods for Three-Dimensional Bodies.

Frequency-Domain Differential Equation Formulations for Open
Three-Dimensional Problems.

Finite-Difference Time-Domain Methods on Orthogonal Meshes.

Appendix A: Quadrature.

Appendix B: Source-Field Relationships for Cylinders Illuminated by
an Obliquely Incident Field.

Appendix C: Fortran Codes for TM Scattering From Perfect Electric
Conducting Cylinders.

Appendix D: Additional Software Available Via the Internet.

Index.

About the Authors.
About the Authors...

Andrew F. Peterson is associate professor at the School of
Electrical and Computer Engineering at Georgia Institute of
Technology. His research interests center on the development of
both integral and differential equation based numerical methods for
electromagnetic applications.

Scott L. Ray is a research scientist at Dow AgroSciences, where he
also serves as technical leader for the Applied Statistics Group.
He previously contributed to time-domain computational
electromagnetics at the Lawrence Livermore National Laboratory and
was involved in the development of TSAR, a general-purpose FDTD
modeling system.

Raj Mittra is professor in the Electrical Engineering Department
and a senior research scientist at the Applied Research Laboratory
of Pennsylvania State University. He has also published over 450
journal papers and 25 books or book chapters on various topics
related to electromagnetics, antennas, microwaves, and electronic
packaging.

A. F. Peterson, Georgia Institute of Technology; S. L. Ray, Modeling and Information Sciences Laboratory, Dow AgroSciences; R. Mittra, Pennsylvania State University