Book description
Praise from the Second Edition
"...an excellent introduction to optimization theory..."
(Journal of Mathematical Psychology, 2002)
"A textbook for a one-semester course on optimization theory and
methods at the senior undergraduate or beginning graduate level."
(SciTech Book News, Vol. 26, No. 2, June 2002)
Explore the latest applications of optimization theory and methods
Optimization is central to any problem involving decision making in
many disciplines, such as engineering, mathematics, statistics,
economics, and computer science. Now, more than ever, it is
increasingly vital to have a firm grasp of the topic due to the rapid
progress in computer technology, including the development and
availability of user-friendly software, high-speed and parallel
processors, and networks. Fully updated to reflect modern developments
in the field, An Introduction to Optimization, Third Edition
fills the need for an accessible, yet rigorous, introduction to
optimization theory and methods.
The book begins with a review of basic definitions and notations and
also provides the related fundamental background of linear algebra,
geometry, and calculus. With this foundation, the authors explore the
essential topics of unconstrained optimization problems, linear
programming problems, and nonlinear constrained optimization. An
optimization perspective on global search methods is featured and
includes discussions on genetic algorithms, particle swarm
optimization, and the simulated annealing algorithm. In addition, the
book includes an elementary introduction to artificial neural
networks, convex optimization, and multi-objective optimization, all
of which are of tremendous interest to students, researchers, and practitioners.
Additional features of the Third Edition include:
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New discussions of semidefinite programming and Lagrangian algorithms
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A new chapter on global search methods
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A new chapter on multipleobjective optimization
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New and modified examples and exercises in each chapter as well
as an updated bibliography containing new references
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An updated Instructor's Manual with fully worked-out solutions
to the exercises
Numerous diagrams and figures found throughout the text complement
the written presentation of key concepts, and each chapter is followed
by MATLAB exercises and drill problems that reinforce the discussed
theory and algorithms. With innovative coverage and a straightforward
approach, An Introduction to Optimization, Third Edition is an
excellent book for courses in optimization theory and methods at the
upper-undergraduate and graduate levels. It also serves as a useful,
self-contained reference for researchers and professionals in a wide
array of fields.
Edwin K. P. Chong, PHD, is Professor of Electrical
and Computer Engineering and Professor of Mathematics at Colorado
State University. He currently serves as Editor of Computer
Networks and the Journal of Control Science and
Engineering. Dr. Chong was the recipient of the 1998 ASEE
Frederick Emmons Terman Award.
Stanislaw H. Zak, PHD, is Professor of Electrical and Computer
Engineering at Purdue University. He is the former associate editor of
Dynamics and Control and the IEEE Transactions on Neural
Networks, and his research interests include control,
optimization, nonlinear systems, neural networks, and fuzzy logic
control.
