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Nonlinear Optimization in Electrical Engineering with Applications in MATLAB®

Product Details
 
Synopsis
Nonlinear Optimization in Electrical Engineering with Applications in MATLAB provides an introductory course on nonlinear optimization in electrical engineering, with a focus on applications including the design of electric, microwave and photonic circuits, wireless communications and digital filter design. Basic concepts are introduced using a step-by-step approach featuring a variety of practical electrical engineering-related examples and illustrated with MATLAB codes that the reader can use and adapt. Topics covered include classical optimization methods, one-dimensional optimization, unconstrained optimization, constrained optimization, global optimization, space mapping optimization, and adjoint variable methods. * Basic concepts are introduced using a step-by-step approach * Features a variety of practical electrical engineering-related examples * Illustrated with MATLAB� codes that the reader can use and adapt. * Topics covered include classical optimization methods, one-dimensional optimization, unconstrained optimization, constrained optimization, global optimization, space mapping optimization, and adjoint variable methods. It will be essential reading for advanced students in electrical engineering and will also interest electrical engineering professionals.


Product Identifiers
ISBN-10
1849195439
ISBN-13
9781849195430

Key Details
Author
Mohamed Bakr
Number Of Pages
392 pages
Series
Computing and Networks
Format
EBOOK
Publication Date
2013-11-21
Language
English
Publisher
The institution of Engineering & Technology
Publication Year
2013


Additional Details
Copyright Date
2013
Illustrated
Yes


Dimensions
Width
7 In.
Length
10 In.


Target Audience
Group
College Audience


Classification Method
Dewey Decimal
621.3015196
Dewey Edition
23


Table Of Content
Chapter 1: Mathematical background Chapter 2: An introduction to linear programming Chapter 3: Classical optimization Chapter 4: One-dimensional optimization-line search Chapter 5: Derivative-free unconstrained techniques Chapter 6: First-order unconstrained optimization techniques Chapter 7: Second-order unconstrained optimization techniques Chapter 8: Constrained optimization techniques Chapter 9: Introduction to global optimization techniques Chapter 10: Adjoint sensitivity analysis

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