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. Vajd)
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. Vajd)
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
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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 ak.
Stanislaw H. ak
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.