EMERGING TOPICS IN COMPUTATIONAL ELECTROMAGNETICS IN COMPUTATIONAL ELECTROMAGNETICS PRESENTS ADVANCES IN COMPUTATIONAL ELECTROMAGNETICS. THIS BOOK IS DESIGNED TO FILL THE EXISTING GAP IN CURRENT CEM LITERATURE THAT ONLY COVER THE CONVENTIONAL NUMERICAL TECHNIQUES FOR SOLVING TRADITIONAL EM PROBLEMS. THE BOOK EXAMINES NEW ALGORITHMS, AND APPLICATIONS OF THESE ALGORITHMS FOR SOLVING PROBLEMS OF CURRENT INTEREST THAT ARE NOT READILY AMENABLE TO EFFICIENT TREATMENT BY USING THE EXISTING TECHNIQUES. THE AUTHORS DISCUSS SOLUTION TECHNIQUES FOR PROBLEMS ARISING IN NANOTECHNOLOGY, BIOEM, METAMATERIALS, AS WELL AS MULTISCALE PROBLEMS. THEY PRESENT TECHNIQUES THAT UTILIZE RECENT ADVANCES IN COMPUTER TECHNOLOGY, SUCH AS PARALLEL ARCHITECTURES, AND THE INCREASING NEED TO SOLVE LARGE AND COMPLEX PROBLEMS IN A TIME EFFICIENT MANNER BY USING HIGHLY SCALABLE ALGORITHMS.
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“This book collects in 19 chapters new computational techniques, developed in the engineering community, to solve large-scale and complex electromagnetic problems by using highly scalable algorithms. ... The material in this book is useful to researchers, engineers, and graduate students who work on contemporary topics and recent developments in computational electromagnetics. Also specialists in numerical mathematics may be interested to analyze the presented algorithms and apply them in other computational disciplines.” (Gunther Schmidt, zbMATH 1342.78002, 2016)
Emerging Topics in Computational Electromagnetics in Computational Electromagnetics presents advances in Computational Electromagnetics. This book is designed to fill the existing gap in current CEM literature that only cover the conventional numerical techniques for solving traditional EM problems. The book examines new algorithms, and applications of these algorithms for solving problems of current interest that are not readily amenable to efficient treatment by using the existing techniques. The authors discuss solution techniques for problems arising in nanotechnology, bioEM, metamaterials, as well as multiscale problems. They present techniques that utilize recent advances in computer technology, such as parallel architectures, and the increasing need to solve large and complex problems in a time efficient manner by using highly scalable algorithms.
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