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:
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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.
Electrical Engineering Computational Methods for Electromagnetics A volume in the IEEE/OUP Series on Electromagnetic Wave Theory Donald G. Dudley, Series Editor Computational Methods for Electromagnetics is an indispensable resource for making efficient and accurate formulations for electromagnetics applications and their numerical treatment. Employing a unified and 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:
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