Microwave Tomography : Global Optimization, Parallelization and Performance Evaluation by Abas Sabouni, Travis Desell, Sima Noghanian and Ali Ashtari (2014, Hardcover)

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About this product

Product Identifiers

PublisherSpringer New York
ISBN-101493907514
ISBN-139781493907519
eBay Product ID (ePID)201686588

Product Key Features

Number of PagesXvii, 198 Pages
Publication NameMicrowave Tomography : Global Optimization, Parallelization and Performance Evaluation
LanguageEnglish
SubjectLife Sciences / Biochemistry, Telecommunications, Microwaves, Computer Vision & Pattern Recognition
Publication Year2014
TypeTextbook
Subject AreaComputers, Technology & Engineering, Science
AuthorAbas Sabouni, Travis Desell, Sima Noghanian, Ali Ashtari
FormatHardcover

Dimensions

Item Weight174.8 Oz
Item Length9.3 in
Item Width6.1 in

Additional Product Features

Intended AudienceScholarly & Professional
LCCN2014-937896
Dewey Edition23
Number of Volumes1 vol.
IllustratedYes
Dewey Decimal616.075722
Table Of ContentIntroduction to Microwave Imaging.- Sequential Forward Solver.- Global Optimization: Differential Evolution, Genetic Algorithms, Particle Swarm and Hybrid Methods.- Sequential Optimization: Genetic Algorithm.- Inclusion of A Priori Information using Neural Networks.- Parallel Forward Solver.- Parallel Optimization Methods.- Benchmarking Parallel Evolutionary Algorithms.
SynopsisThis text provides a detailed overview on the use of global optimization and parallel computing in microwave tomography techniques. The book focuses on techniques that are based on global optimization and electromagnetic numerical methods. The authors provide parallelization techniques on homogeneous and heterogeneous computing architectures on high performance and general purpose futuristic computers. The book also discusses the multi-level optimization technique, hybrid genetic algorithm and its application in breast cancer imaging., This book provides a detailed overview on the use of global optimization and parallel computing in microwave tomography techniques. The book focuses on techniques that are based on global optimization and electromagnetic numerical methods. The authors provide parallelization techniques on homogeneous and heterogeneous computing architectures on high performance and general purpose futuristic computers. The book also discusses the multi-level optimization technique, hybrid genetic algorithm and its application in breast cancer imaging.
LC Classification NumberTK5101-5105.9

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