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Optimization in electrical engineering

Bevrani, Hassan.

Optimization in electrical engineering

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimization in electrical engineeringby Mohammad Fathi, Hassan Bevrani.
Author:	Fathi, Mohammad.
other author:	Bevrani, Hassan.
Published:	Cham :Springer International Publishing :2019.
Description:	ix, 174 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Mathematical optimization.
Online resource:	https://doi.org/10.1007/978-3-030-05309-3
ISBN:	9783030053093$q(electronic bk.)

Optimization in electrical engineering
Fathi, Mohammad.

Optimization in electrical engineering[electronic resource] /by Mohammad Fathi, Hassan Bevrani. - Cham :Springer International Publishing :2019. - ix, 174 p. :ill. (some col.), digital ;24 cm.

Introduction -- Linear Algebra Review -- Set constrained Optimization -- Convex Programming -- Duality -- LMI-based Optimization -- Artificial intelligence and evolutionary algorithms based optimization.

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.

ISBN: 9783030053093$q(electronic bk.)

Standard No.: 10.1007/978-3-030-05309-3doiSubjects--Topical Terms:

183292
Mathematical optimization.

LC Class. No.: QA402.5 / .F384 2019

Dewey Class. No.: 519.6

Optimization in electrical engineering
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245 1 0 $a Optimization in electrical engineering $h [electronic resource] / $c by Mohammad Fathi, Hassan Bevrani.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a ix, 174 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Introduction -- Linear Algebra Review -- Set constrained Optimization -- Convex Programming -- Duality -- LMI-based Optimization -- Artificial intelligence and evolutionary algorithms based optimization.
520 $a 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.
650 0 $a Mathematical optimization. $3 183292
650 0 $a Electrical engineering. $3 454503
650 1 4 $a Power Electronics, Electrical Machines and Networks. $3 338660
650 2 4 $a Optimization. $3 274084
650 2 4 $a Energy Systems. $3 512090
700 1 $a Bevrani, Hassan. $3 683054
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