Picture 1 of 2

Stock photo

Nonlinear Programming : Theory and Algorithms Paperback - Picture 1 of 2

Nonlinear Programming : Theory and Algorithms Paperback - Picture 2 of 2

Nonlinear Programming : Theory and Algorithms by Mokhtar S. Bazaraa, C. M. Shetty and Hanif D. Sherali (1993, Trade Paperback)

Better World Books (2778114)

98.8% positive feedback

Price:

$22.95

Free shipping

Estimated delivery Wed, Sep 3 - Mon, Sep 8

Returns:

30 days returns. Buyer pays for return shipping. If you use an eBay shipping label, it will be deducted from your refund amount.

Condition:

Good

Book

About this product

Product Identifiers

PublisherWiley & Sons, Incorporated, John

ISBN-100471557935

ISBN-139780471557937

eBay Product ID (ePID)391268

Product Key Features

Number of Pages656 Pages

LanguageEnglish

Publication NameNonlinear Programming : Theory and Algorithms

SubjectLinear & Nonlinear Programming

Publication Year1993

FeaturesRevised

TypeTextbook

AuthorMokhtar S. Bazaraa, C. M. Shetty, Hanif D. Sherali

Subject AreaMathematics

FormatTrade Paperback

Dimensions

Item Height1.5 in

Item Weight46.6 Oz

Item Length10.1 in

Item Width7.3 in

Additional Product Features

Edition Number2

Intended AudienceCollege Audience

LCCN92-030957

Dewey Edition22

IllustratedYes

Dewey Decimal519.7/6

Table Of ContentCONVEX ANALYSIS. Convex Sets. Convex Functions and Generalizations. OPTIMALITY CONDITIONS AND DUALITY. The Fritz John and the Karush-Kuhn-Tucker Optimality Conditions. Constraint Qualifications. Lagrangian Duality and Saddle Point Optimality Conditions. ALGORITHMS AND THEIR CONVERGENCE. The Concept of an Algorithm. Unconstrained Optimization. Penalty and Barrier Functions. Methods of Feasible Directions. Linear Complementary Problem, and Quadratic, Separable, Fractional, and Geometric Programming. Appendices. Bibliography. Index.

Edition DescriptionRevised edition

SynopsisThis updated textbook offers an overview of convex analysis, the foundations of optimization and computational methods. It emphasizes the implementation of numerical methods and focuses on the concept of error and the need to analyze and predict it., Presents recent developments of key topics in nonlinear programming using a logical and self-contained format. Divided into three sections that deal with convex analysis, optimality conditions and duality, computational techniques. Precise statements of algorithms are given along with convergence analysis. Each chapter contains detailed numerical examples, graphical illustrations and numerous exercises to aid readers in understanding the concepts and methods discussed.