Numerical Optimization

By: Jorge Nocedal, Stephen Wright

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Paperback | 1 April 2009 | Edition Number 2

At a Glance

Paperback
688 Pages

Edition Type
Revised

Dimensions(cm)
17.8 x 23.4 x 4.2

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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.

Industry Reviews

MMOR Mathematical Methods of Operations Research, 2001: "The books looks very suitable to be used in an graduate-level course in optimization for students in mathematics, operations research, engineering, and others. Moreover, it seems to be very helpful to do some self-studies in optimization, to complete own knowledge and can be a source of new ideas.... I recommend this excellent book to everyone who is interested in optimization problems."

Aus den Rezensionen zur 2. Auflage:

" Der Aufbau folgt ... vielen Standardwerken ber nichtlineare Optimierung. ... Das Buch bietet eine detaillierte und gut lesbare bersicht ber den aktuellen Stand der Forschung in nichtlinearer Optimierung. Viele Aufgaben unterschiedlichen Schwierigkeitsgrades bieten auch den Lernenden eine n tzliche Unterst tzung. Insgesamt halte ich dieses Werk als Grundlage f r eine Lehrveranstaltung ber nichtlineare Optimierung hervorragend geeignet und habe es bereits selbst erfolgreich eingesetzt." (F. Rendl, in: IMN - Internationale Mathematische Nachrichten, 2008, Vol. 62, Issue 208, S. 69 f.)

MMOR Mathematical Methods of Operations Research, 2001: "The books looks very suitable to be used in an graduate-level course in optimization for students in mathematics, operations research, engineering, and others. Moreover, it seems to be very helpful to do some self-studies in optimization, to complete own knowledge and can be a source of new ideas.... I recommend this excellent book to everyone who is interested in optimization problems."

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