An Introduction to Optimization by Chong, Edwin K. P. Zak, Stanislaw H.

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Item specifics

Condition
Very Good: A book that has been read but is in excellent condition. No obvious damage to the cover, ...
Binding
Hardcover
Product Group
Book
Book Title
An Introduction to Optimization
Weight
1 lbs
IsTextBook
Yes
ISBN
9780471089490
Category

About this product

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471089494
ISBN-13
9780471089490
eBay Product ID (ePID)
486902

Product Key Features

Number of Pages
424 Pages
Publication Name
Introduction to Optimization
Language
English
Publication Year
1995
Subject
Optimization, Discrete Mathematics
Type
Textbook
Subject Area
Mathematics
Author
Stanislaw H. Zak, Edwin K. Chong
Series
Wiley Series in Discrete Mathematics and Optimization Ser.
Format
Hardcover

Dimensions

Item Height
1 in
Item Weight
27.3 Oz
Item Length
9.6 in
Item Width
6.1 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
95-006111
Dewey Edition
20
TitleLeading
An
Series Volume Number
40
Illustrated
Yes
Dewey Decimal
519.3
Table Of Content
Partial table of contents: MATHEMATICAL REVIEW. Methods of Proof and Some Notation. Real Vector Spaces and Matrices. Transformations. Concepts from Geometry. UNCONSTRAINED OPTIMIZATION. One-Dimensional Search Methods. Gradient Methods. Newton2s Method. Conjugate Direction Methods. Quasi-Newton Methods. Genetic Algorithms. LINEAR PROGRAMMING. Introduction to Linear Programming. The Simplex Method. Duality. Non-Simplex Methods. NONLINEAR CONSTRAINED OPTIMIZATION. Problems with Inequality Constraints. Convex Optimization Problems. Bibliography. Index.
Synopsis
An up-to-date, accessible introduction to an increasingly important field This timely and authoritative book fills a growing need for an introductory text to optimization methods and theory at the senior undergraduate and beginning graduate levels. With consistently accessible and elementary treatment of all topics, An Introduction to Optimization 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-out 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 the most recent developments, including neural networks, genetic algorithms, and the nonsimplex method of Karmarkar A chapter on the use of descent algorithms for the training of feedforward neural networks Exercise problems after every chapter MATLAB exercises and examples An optional solutions manual with MATLAB source listings This book 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 Number
QA402.5.C476 1996

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