東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Optimization in electrical engineering

Fathi, Mohammad.

FindBook

Google Book

Amazon

博客來

Optimization in electrical engineering

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Optimization in electrical engineering/ by Mohammad Fathi, Hassan Bevrani.
作者:	Fathi, Mohammad.
其他作者:	Bevrani, Hassan.
出版者:	Cham :Springer International Publishing : : 2019.,
面頁冊數:	ix, 174 p. :ill. (some col.), digital ;24 cm.
內容註:	Introduction -- Linear Algebra Review -- Set constrained Optimization -- Convex Programming -- Duality -- LMI-based Optimization -- Artificial intelligence and evolutionary algorithms based optimization.
Contained By:	Springer eBooks
標題:	Mathematical optimization. -
電子資源:	https://doi.org/10.1007/978-3-030-05309-3
ISBN:	9783030053093

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

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

517763
Mathematical optimization.

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

Dewey Class. No.: 519.6

Optimization in electrical engineering
LDR:02431nmm a2200325 a 4500 001 2179915
003 DE-He213
005 20190829171847.0
006 m d
007 cr nn 008maaau
008 191122s2019 gw s 0 eng d
020 $a 9783030053093 $q (electronic bk.)
020 $a 9783030053086 $q (paper)
024 7 $a 10.1007/978-3-030-05309-3 $2 doi
035 $a 978-3-030-05309-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA402.5 $b .F384 2019
072 7 $a THRD $2 bicssc
072 7 $a TEC046000 $2 bisacsh
072 7 $a THR $2 thema
082 0 4 $a 519.6 $2 23
090 $a QA402.5 $b .F252 2019
100 1 $a Fathi, Mohammad. $3 3385495
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 517763
650 0 $a Electrical engineering. $3 649834
650 1 4 $a Power Electronics, Electrical Machines and Networks. $3 1001796
650 2 4 $a Optimization. $3 891104
650 2 4 $a Energy Systems. $3 1530445
700 1 $a Bevrani, Hassan. $3 2071808
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-3-030-05309-3
950 $a Engineering (Springer-11647)