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Wiley Series in Discrete Mathematics and Optimization Ser.: Introduction to Optimization by Stanislaw H. Zak and Edwin K. P. Chong (2001, Hardcover)

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About this product

Product Identifiers

PublisherWiley & Sons, Incorporated, John

ISBN-100471391263

ISBN-139780471391265

eBay Product ID (ePID)1900271

Product Key Features

Number of Pages496 Pages

LanguageEnglish

Publication NameIntroduction to Optimization

Publication Year2001

SubjectOptimization, Discrete Mathematics

FeaturesRevised

TypeTextbook

AuthorStanislaw H. Zak, Edwin K. P. Chong

Subject AreaMathematics

SeriesWiley Series in Discrete Mathematics and Optimization Ser.

FormatHardcover

Dimensions

Item Height1.1 in

Item Weight28.8 Oz

Item Length9.4 in

Item Width6.5 in

Additional Product Features

Edition Number2

Intended AudienceScholarly & Professional

LCCN2001-026801

TitleLeadingAn

Dewey Edition22

Reviews"...an excellent introduction to optimization theory..." ( Journal of Mathematical Psychology , 2002) "A textbook for a one-semester course on optimization theory and methods at the senior undergraduate or beginning graduate level." ( SciTech Book News , Vol. 26, No. 2, June 2002)

Series Volume Number60

IllustratedYes

Dewey Decimal519.6

Table Of ContentPreface.MATHEMATICAL REVIEW. Methods of Proof and Some Notation. Vector Spaces and Matrices. Transformations. Concepts from Geometry. Elements of Calculus. UNCONSTRAINED OPTIMIZATION. Basics of Set-Constrained and Unconstrained Optimization. One-Dimensional Search Methods. Gradient Methods. Newton's Method. Conjugate Direction Methods. Quasi-Newton Methods. Solving Ax = b.Unconstrained Optimization and Neural Networks. Genetic Algorithms. LINEAR PROGRAMMING. Introduction to Linear Programming. Simplex Method. Duality. Non-Simplex Methods. NONLINEAR CONSTRAINED OPTIMIZATION. Problems with Equality Constraints. Problems with Inequality Constraints. Convex Optimization Problems. Algorithms for Constrained Optimization. References.Index.

Edition DescriptionRevised edition

SynopsisA modern, up-to-date introduction to optimization 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 also 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 recent developments, including neural networks, genetic algorithms, and interior-point methods * A chapter on the use of descent algorithms for the training of feedforward neural networks * Exercise problems after every chapter, many new to this edition * MATLAB(r) exercises and examples * Accompanying Instructor's Solutions Manual available on request An Introduction to Optimization, Second Edition helps students 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. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department., This volume provides an up-to-date and accessible introduction to optimization theory and methods with an emphasis on engineering design. It provides readers with a working knowledge of the subject and the necessary background for further study in advanced topics., A modern, up-to-date introduction to optimization 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 also 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 recent developments, including neural networks, genetic algorithms, and interior-point methods A chapter on the use of descent algorithms for the training of feedforward neural networks Exercise problems after every chapter, many new to this edition MATLABreg; exercises and examples Accompanying Instructor's Solutions Manual available on request An Introduction to Optimization, Second Edition helps students 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.

LC Classification NumberQA402.5.C476 2001