Nonlinear Optimization in Electrical Engineering with Applications in MATLAB (R)
1st Edition
Published on 9. September 2013
328 pages
978-1-84919-544-7 (ISBN)
Description
Nonlinear Optimization in Electrical Engineering with Applications in MATLAB (R) provides an introductory course on nonlinear optimization in electrical engineering, with a focus on applications such as the design of electric, microwave, and photonic circuits, wireless communications, and digital filter design.
Basic concepts are introduced using a step-by-step approach and illustrated with MATLAB (R) codes that the reader can use and adapt. Topics covered include:
classical optimization methods
one dimensional optimization
unconstrained and constrained optimization
global optimization
space mapping optimization
adjoint variable methods
Nonlinear Optimization in Electrical Engineering with Applications in MATLAB (R) is essential reading for advanced students in electrical engineering.
Basic concepts are introduced using a step-by-step approach and illustrated with MATLAB (R) codes that the reader can use and adapt. Topics covered include:
classical optimization methods
one dimensional optimization
unconstrained and constrained optimization
global optimization
space mapping optimization
adjoint variable methods
Nonlinear Optimization in Electrical Engineering with Applications in MATLAB (R) is essential reading for advanced students in electrical engineering.
More details
Series
Language
English
Place of publication
Stevenage
United Kingdom
Target group
College/higher education
Professional and scholarly
ISBN-13
978-1-84919-544-7 (9781849195447)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
09/2013
Institution of Engineering and Technology
€97.50
Shipment within 3-4 weeks
Person
Mohamed Bakr is an Associate Professor at the Department of Electrical and Computer Engineering, McMaster University, Canada, where his research interests include optimization methods, computeraided design and modelling of microwave circuits, neural networks applications, smart analysis of microwave circuits and efficient optimization using time domain simulation methods.
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
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
