An Introduction to Optimization / Wiley-Interscience Series in Discrete Mathematics and Optimization (ePub)

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.