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Microwave Tomography: Global Optimization, Parallelization and Performance Evaluation
Noghanian, Sima, Sabouni, Abas, Desell, Travis, Ashtari, Ali
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Description for Microwave Tomography: Global Optimization, Parallelization and Performance Evaluation
Hardcover. Microwave Tomography Num Pages: 198 pages, 5 black & white illustrations, 112 colour illustrations, 19 black & white tables, biograp. BIC Classification: MMPJ; TTBM. Category: (P) Professional & Vocational. Dimension: 161 x 240 x 14. Weight in Grams: 456.
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.
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.
Product Details
Format
Hardback
Publication date
2014
Publisher
Springer
Condition
New
Number of Pages
198
Place of Publication
New York, United States
ISBN
9781493907519
SKU
V9781493907519
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Noghanian, Sima, Sabouni, Abas, Desell, Travis, Ashtari, Ali
Sima Noghanian is an associate professor and chair of the Antenna and Applied Electromagnetics department of the University of North Dakota. Travis Desell is an assistant professor at the University of North Dakota. Abas Sabouni is a research associate at Concordia University. Ali Ashtari is the lead researcher at Invenia Technical Computing.
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