Optimization in Electrical Engineering
This textbook provides students, researchers, and engineers in the area of electrical engineering with advanced mathematical optimization methods. Presented in a readable format, this book highlights fundamental concepts of advanced optimization used in electrical engineering. Chapters provide a collection that ranges from simple yet important concepts such as unconstrained optimization to highly advanced topics such as linear matrix inequalities and artificial intelligence-based optimization m…
Read More ↓Title Statements
- Full title :Optimization in Electrical Engineering / by Mohammad Fathi, Hassan Bevrani.
Summary
This textbook provides students, researchers, and engineers in the area of electrical engineering with advanced mathematical optimization methods. Presented in a readable format, this book highlights fundamental concepts of advanced optimization used in electrical engineering. Chapters provide a collection that ranges from simple yet important concepts such as unconstrained optimization to highly advanced topics such as linear matrix inequalities and artificial intelligence-based optimization methodologies. The reader is motivated to engage with the content via numerous application examples of optimization in the area of electrical engineering. The book begins with an extended review of linear algebra that is a prerequisite to mathematical optimization. It then precedes with unconstrained optimization, convex programming, duality, linear matrix inequality, and intelligent optimization methods. This book can be used as the main text in courses such as Engineering Optimization, Convex Engineering Optimization, Advanced Engineering Mathematics and Robust Optimization and will be useful for practicing design engineers in electrical engineering fields. Author provided cases studies and worked examples are included for student and instructor use.
Read More ↓Edition Statements
- Publication Date:2019.
- Edition:1st ed. 2019
Publication Statements
- Publisher(s):Imprint, Springer, Springer International Publishing
- Place of Publication:Cham
- Language:eng
- Publication Date:2019.
The Physical Object
- Description:1 online resource (IX, 174 pages 60 illustrations, 43 illustrations in color.)
Edition Identifiers
- ISBN:3030053091, 9783030053093
- DOI:10.1007/978-3-030-05309-3
- oclc:on1125712669
- LC Classification:TK7881.15
- Dewey Decimal:621.317
Table of Contents
Introduction -- Linear Algebra Review -- Set constrained Optimization -- Convex Programming -- Duality -- LMI-based Optimization -- Artificial intelligence and evolutionary algorithms based optimization.
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