Numerical Optimization (Springer Series in Operations Research and Financial Engineering)

Nocedal, Jorge; Wright, Stephen

ISBN 10: 0387303030 / ISBN 13: 9780387303031

Published by Springer, 2006

About this Item

A beautiful, crisp, clean hardcover in very goodnight, faint shelf wear. No dust jacket, as issued. We are a brick-and-mortar store and sell our own inventory. Seller Inventory # 064626

Bibliographic Details

Title: Numerical Optimization (Springer Series in ...

Publisher: Springer

Publication Date: 2006

Binding: Hardcover

Condition: Very Good

Dust Jacket Condition: No DJ as Issued

Edition: 2nd Edition

About this title

Synopsis:

Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It responds to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems.

For this new edition the book has been thoroughly updated throughout. There are new chapters on nonlinear interior methods and derivative-free methods for optimization, both of which are used widely in practice and the focus of much current research. Because of the emphasis on practical methods, as well as the extensive illustrations and exercises, the book is accessible to a wide audience. It can be used as a graduate text in engineering, operations research, mathematics, computer science, and business. It also serves as a handbook for researchers and practitioners in the field. The authors have strived to produce a text that is pleasant to read, informative, and rigorous - one that reveals both the beautiful nature of the discipline and its practical side.

There is a selected solutions manual for instructors for the new edition.   

From the Back Cover:

Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It responds to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems.

For this new edition the book has been thoroughly updated throughout. There are new chapters on nonlinear interior methods and derivative-free methods for optimization, both of which are used widely in practice and the focus of much current research. Because of the emphasis on practical methods, as well as the extensive illustrations and exercises, the book is accessible to a wide audience. It can be used as a graduate text in engineering, operations research, mathematics, computer science, and business. It also serves as a handbook for researchers and practitioners in the field. The authors have strived to produce a text that is pleasant to read, informative, and rigorous - one that reveals both the beautiful nature of the discipline and its practical side.