Linear and Nonlinear Optimization, Second Edition

Griva, Igor, Nash, Stephen G., Sofer, Ariela

ISBN 10: 0898716616 / ISBN 13: 9780898716610

Published by Society for Industrial Mathematics, 2009

About this Item

2008. 2nd Edition. Hardcover. Flexible graduate textbook that introduces the applications, theory, and algorithms of linear and nonlinear optimization. Num Pages: 764 pages, ill. BIC Classification: PBU. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 261 x 180 x 40. Weight in Grams: 1482. . . . . . Books ship from the US and Ireland. Seller Inventory # V9780898716610

Bibliographic Details

Title: Linear and Nonlinear Optimization, Second ...

Publisher: Society for Industrial Mathematics

Publication Date: 2009

Binding: Hardcover

Condition: New

Edition: 2nd Edition

About this title

Synopsis:

Provides an introduction to the applications, theory, and algorithms of linear and nonlinear optimization. The emphasis is on practical aspects - discussing modern algorithms, as well as the influence of theory on the interpretation of solutions or on the design of software. The book includes several examples of realistic optimization models that address important applications. The succinct style of this second edition is punctuated with numerous real-life examples and exercises, and the authors include accessible explanations of topics that are not often mentioned in textbooks, such as duality in nonlinear optimization, primal-dual methods for nonlinear optimization, filter methods, and applications such as support-vector machines. The book is designed to be flexible. It has a modular structure, and uses consistent notation and terminology throughout. It can be used in many different ways, in many different courses, and at many different levels of sophistication.

Book Description:

Flexible graduate textbook that introduces the applications, theory, and algorithms of linear and nonlinear optimization in a clear succinct style, supported by numerous examples and exercises. It introduces important realistic applications and explains how optimization can address them.