Book description
Praise for the Third Edition ". . . guides and leads the reader
through the learning path . . . [e]xamples are stated very clearly and
the results are presented with attention to detail." -MAA Reviews
Fully updated to reflect new developments in the field, the Fourth
Edition of Introduction to Optimization fills the need for accessible
treatment of optimization theory and methods with an emphasis on
engineering design. Basic definitions and notations are provided in
addition to the related fundamental background for linear algebra,
geometry, and calculus.
This new edition explores the essential topics of unconstrained
optimization problems, linear programming problems, and nonlinear
constrained optimization. The authors also present an optimization
perspective on global search methods and include discussions on genetic
algorithms, particle swarm optimization, and the simulated annealing
algorithm. Featuring an elementary introduction to artificial neural
networks, convex optimization, and multi-objective optimization, the
Fourth Edition also offers:
A new chapter on integer programming
Expanded coverage of one-dimensional methods
Updated and expanded sections on linear matrix inequalities
Numerous new exercises at the end of each chapter
MATLAB exercises and drill problems to reinforce the discussed theory
and algorithms
Numerous diagrams and figures that complement the written presentation
of key concepts
MATLAB M-files for implementation of the discussed theory and algorithms
(available via the book's website)
Introduction to Optimization, Fourth Edition is an ideal textbook for
courses on optimization theory and methods. In addition, the book is a
useful reference for professionals in mathematics, operations research,
electrical engineering, economics, statistics, and business.
Edwin K. P. Chong, PHD, is Professor of Electrical and Computer
Engineering as well as Professor of Mathematics at Colorado State
University. He is a Fellow of the IEEE and Senior Editor of IEEE
Transactions on Automatic Control.
Stanislaw H. Zak, PHD, is Professor in the School of Electrical
and Computer Engineering at Purdue University. He is former associate
editor of Dynamics and Control and IEEE Transactions on Neural
Networks
