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Numerical Optimization Paperback – Illustrated, April 1 2009

4.6 out of 5 stars 102 ratings

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Review

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."



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.)

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."

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.

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Product details

  • Publisher ‏ : ‎ Springer; 2 edition (April 1 2009)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 686 pages
  • ISBN-10 ‏ : ‎ 1493937111
  • ISBN-13 ‏ : ‎ 978-1493937110
  • Item weight ‏ : ‎ 3.34 kg
  • Dimensions ‏ : ‎ 20.32 x 3.3 x 23.11 cm
  • Customer Reviews:
    4.6 out of 5 stars 102 ratings

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Steve Wright is a Professor of Computer Sciences at the University of Wisconsin-Madison. He does research in computational optimization and its applications to many other areas of science and engineering. He has also been active in professional roles, most notably as a recent chair of the Mathematical Optimization Society, the leading professional society in optimization. During his career, he has been excited to witness the increasing vitality of optimization and its growing visibility across the whole scientific enterprise. He looks forward to many more years of enjoyable collaborations with excellent colleagues.

Customer reviews

4.6 out of 5 stars
4.6 out of 5
102 global ratings

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