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Edwin K. P. Chong - An Introduction to Optimization

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Edwin K. P. Chong An Introduction to Optimization

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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 books 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.

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AN INTRODUCTION TO OPTIMIZATION WILEY SERIES IN DISCRETE MATHEMATICS AND - photo 1

AN INTRODUCTION TO OPTIMIZATION

WILEY SERIES IN DISCRETE MATHEMATICS AND OPTIMIZATION

AARTS AND KORST Simulated Annealing and Boltzmann Machines: A Stochastic Approach to Combinatorial Optimization and Neural Computing

AARTS AND LENSTRA Local Search in Combinatorial Optimization

ALON AND SPENCER The Probabilistic Method, Third Edition

ANDERSON AND NASH Linear Programming in Infinite-Dimensional Spaces: Theory and Application

ARLINGHAUS, ARLINGHAUS, AND HARARY Graph Theory and Geography: An Interactive View E-Book

AZENCOTT Simulated Annealing: Parallelization Techniques

BARTHLEMY AND GUNOCHE Trees and Proximity Representations

BAZARRA, JARVIS, AND SHERALI Linear Programming and Network Flows

BRUEN AND FORCINITO Cryptography, Information Theory, and Error-Correction: A Handbook for the 21st Century

CHANDRU AND HOOKER Optimization Methods for Logical Inference

CHONG AND K An Introduction to Optimization, Fourth Edition

COFFMAN AND LUEKER Probabilistic Analysis of Packing and Partitioning Algorithms

COOK, CUNNINGHAM, PULLEYBLANK, AND SCHRIJVER Combinatorial Optimization

DASKIN Network and Discrete Location: Modes, Algorithms and Applications

DINITZ AND STINSON Contemporary Design Theory: A Collection of Surveys

DU AND KO Theory of Computational Complexity

ERICKSON Introduction to Combinatorics

GLOVER, KLINGHAM, AND PHILLIPS Network Models in Optimization and Their Practical Problems

GOLSHTEIN AND TRETYAKOV Modified Lagrangians and Monotone Maps in Optimization

GONDRAN AND MINOUX Graphs and Algorithms (Translated by S. VajdPicture 2)

GRAHAM, ROTHSCHILD, AND SPENCER Ramsey Theory, Second Edition

GROSS AND TUCKER Topological Graph Theory

HALL Combinatorial Theory, Second Edition

HOOKER Logic-Based Methods for Optimization: Combining Optimization and Constraint Satisfaction

IMRICH AND KLAVAR Product Graphs: Structure and Recognition

JANSON, LUCZAK, AND RUCINSKI Random Graphs

JENSEN AND TOFT Graph Coloring Problems

KAPLAN Maxima and Minima with Applications: Practical Optimization and Duality

LAWLER, LENSTRA, RINNOOY KAN, AND SHMOYS, Editors The Traveling Salesman Problem: A Guided Tour of Combinatorial Optimization

LAYWINE AND MULLEN Discrete Mathematics Using Latin Squares

LEVITIN Perturbation Theory in Mathematical Programming Applications

MAHMOUD Evolution of Random Search Trees

MAHMOUD Sorting: A Distribution Theory

MARTELLI Introduction to Discrete Dynamical Systems and Chaos

MARTELLO AND TOTH Knapsack Problems: Algorithms and Computer Implementations

McALOON AND TRETKOFF Optimization and Computational Logic

MERRIS Combinatorics, Second Edition

MERRIS Graph Theory

MINC Nonnegative Matrices

MINOUX Mathematical Programming: Theory and Algorithms (Translated by S. VajdPicture 3)

MIRCHANDANI AND FRANCIS, Editors Discrete Location Theory

NEMHAUSER AND WOLSEY Integer and Combinatorial Optimization

NEMIROVSKY AND YUDIN Problem Complexity and Method Efficiency in Optimization (Translated by E. R. Dawson)

PACH AND AGARWAL Combinatorial Geometry

PLESS Introduction to the Theory of Error-Correcting Codes, Third Edition

ROOS AND VIAL Ph. Theory and Algorithms for Linear Optimization: An Interior Point Approach

SCHEINERMAN AND ULLMAN Fractional Graph Theory: A Rational Approach to the Theory of Graphs

SCHIFF Cellular Automata: A Discrete View of the World

SCHRIJVER Theory of Linear and Integer Programming

SPALL Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control

STIEBITZ, SCHEIDE, TOFT, AND FAVRHOLDT Graph Edge Coloring: Vizings Theorem and Goldbergs Conjecture

SZPANKOWSKI Average Case Analysis of Algorithms on Sequences

TOMESCU Problems in Combinatorics and Graph Theory (Translated by R.A. Melter)

TUCKER Applied Combinatorics, Second Edition

WOLSEY Integer Programming

YE Interior Point Algorithms: Theory and Analysis

Copyright 2013 by John Wiley Sons Inc All rights reserved Published by John - photo 4

Copyright 2013 by John Wiley & Sons, Inc. All rights reserved

Published by John Wiley & Sons, Inc., Hoboken, New Jersey

Published simultaneously in Canada

No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning, or otherwise, except as permitted under Section 107 or 108 of the 1976 United States Copyright Act, without either the prior written permission of the Publisher, or authorization through payment of the appropriate per-copy fee to the Copyright Clearance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923, (978) 750-8400, fax (978) 750-4470, or on the web at www.copyright.com . Requests to the Publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, (201) 748-6011, fax (201) 748-6008, or online at http://www.wiley.com/go/permission .

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Library of Congress Cataloging-in-Publication Data

Chong, Edwin Kah Pin.
An introduction to optimization / Edwin K. P. Chong, Colorado State University, Stanislaw H. Zak, Purdue University. Fourth edition.
pages cm
Summary: The purpose of the book is to give the reader a working knowledge of optimization theory and methods Provided by publisher.
Includes bibliographical references and index.
ISBN 978-1-118-27901-4 (hardback)
1. Mathematical optimization. I. Zak, Stanislaw H. II. Title.
QA402.5.C476 2012
519.6dc23
2012031772

To my wife, Yat-Yee,
and to my parents, Paul
and Julienne Chong.
Edwin K. P. Chong

To JMJ; my wife,
Mary Ann; and my
parents, Janina and
Konstanty Picture 5ak.
Stanislaw H. Picture 6ak

PREFACE

Optimization is central to any problem involving decision making, whether in engineering or in economics. The task of decision making entails choosing among various alternatives. This choice is governed by our desire to make the best decision. The measure of goodness of the alternatives is described by an objective function or performance index. Optimization theory and methods deal with selecting the best alternative in the sense of the given objective function.

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