An Introduction to Optimization, Second Edition

WileyInterscience Series in Discrete Mathematics and Optimization
John Wiley & Sons, Inc.
New York
Copyright © 2001
ISBN 0471391263, xvi+476 pp.
From the back cover:
A modern, uptodate introduction to optimzation theory and methods
This authoritative book serves as an introductory
text to optimization at the senior undergraduate and
beginning graduate levels. With consistently accessible and elementary
treatment of all topics, An Introduction to Optimization,
Second Edition
helps students build a solid working knowledge of the field, including
unconstrained optimization, linear programming, and constrained
optimization.
Supplemented with more than one hundred tables and illustrations, an
extensive bibliography, and numerous worked examples to illustrate
both theory and algorithms, this book provides:
 A review of the required mathematical background material
 A mathematical discussion at a level accessible to MBA and business
students
 A treatment of both linear and nonlinear programming
 An introduction to the most recent developments, including neural
networks, genetic algorithms, and interiorpoint methods
 A chapter on the use of descent algorithms for the training of
neural networks
 Exercise problems after every chapter
 MATLAB exercises and examples
 Accompanying Instructor's Solutions Manual available on request
(Instructors only: To obtain a copy of the solutions manual, see
ordering information
below.)
An Introduction to Optimization, Second Edition
helps students to prepare for the advanced topics and
technological developments that lie ahead. It is also a useful book for
researchers and professionals in mathematics, electrical engineering,
economics, statistics, and business.
Errata
An uptodate errata is available, in
Postscript and
PDF formats.
Brief Table of Contents
(A more detailed table of contents is available.)
 Preface
Part I. Mathematical Review
 1 Methods of Proof and Some Notation
 2 Vector Spaces and Matrices
 3 Transformations
 4 Concepts from Geometry
 5 Elements of Calculus
Part II. Unconstrained Optimization
 6 Basics of SetConstrained and Unconstrained Optimization
 7 OneDimensional Search Methods
 8 Gradient Methods
 9 Newton's Method
 10 Conjugate Direction Methods
 11 QuasiNewton Methods
 12 Solving Ax=b
 13 Unconstrained Optimization and Neural Networks
 14 Genetic Algorithms
Part III. Linear Programming
 15 Introduction to Linear Programming
 16 Simplex Method
 17 Duality
 18 NonSimplex Methods
Part IV. Nonlinear Constrained Optimization
 19 Problems with Equality Constraints
 20 Problems With Inequality Constraints
 21 Convex Optimization Problems
 22 Algorithms for Constrained Optimization
 References
 Index
Ordering information
Wiley has
information on how to order the book.
Instructors only:
Copies of the solutions manuals are held inhouse at
Wiley's New York office.
For a copy of the solutions manual, fax an official request letter on
university letterhead to 2017486825, or contact
Sari Friedman (sfriedman@wiley.com)
Professor Edwin Chong,
This document was last modified
September 09, 2020.