Despite the dramatic growth in the availability of powerful computer resources, the EM community lacks a comprehensive text on the computational techniques used to solve EM problems. The first edition of Numerical Techniques in Electromagnetics filled that gap and became the reference of choice for thousands of engineers, researchers, and students.
This third edition of the bestselling text reflects the continuing increase in awareness and use of numerical techniques and incorporates advances and refinements made in recent years. Most notable among these are the improvements made to the standard algorithm for the finite-difference time-domain (FDTD) method and treatment of absorbing boundary conditions in FDTD, finite element, and transmission-line-matrix methods. The author also has added a chapter on the method of lines.
Numerical Techniques in Electromagnetics with MATLAB®, Third Edition continues to teach readers how to pose, numerically analyze, and solve EM problems, to give them the ability to expand their problem-solving skills using a variety of methods, and to prepare them for research in electromagnetism. Now the Third Edition goes even further toward providing a comprehensive resource that addresses all of the most useful computation methods for EM problems and includes MATLAB code instead of FORTRAN.
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Continuing in the bestselling tradition of the first edition, this edition demonstrates how to pose, numerically analyze, and solve electromagnetic problems (EM). Significant updates include the transition of all FORTRAN code into the more widely used MATLAB[registered] format as well as improvements made to the standard algorithm for the finite difference time domain (FDTD) method and the treatment of absorbing boundary conditions in FDTD, the finite element method, and the transmission-line-matrix method. In addition to updated examples and new homework problems throughout, the second edition adds a chapter on the method of lines. An appendix covers use of MATLAB code. A solution manual is available for qualifying instructors.
Prairie View A&M University, Texas, USA
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