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Numerical Optimization (Springer Series in Operations Research and Financial Engineering) 2nd Edition
- ISBN-100387303030
- ISBN-13978-0387303031
- Edition2nd
- PublisherSpringer
- Publication dateJuly 27, 2006
- LanguageEnglish
- Dimensions7 x 1.44 x 10 inches
- Print length686 pages
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Editorial Reviews
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.
Product details
- Publisher : Springer; 2nd edition (July 27, 2006)
- Language : English
- Hardcover : 686 pages
- ISBN-10 : 0387303030
- ISBN-13 : 978-0387303031
- Item Weight : 7.36 pounds
- Dimensions : 7 x 1.44 x 10 inches
- Best Sellers Rank: #382,703 in Books (See Top 100 in Books)
- #17 in Linear Programming (Books)
- #43 in Number Systems (Books)
- #43 in Business Operations Research (Books)
- Customer Reviews:
About the author

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
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Top reviews
Top reviews from the United States
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Very good write up on the Wolfe condition, Cauchy point, and trust region.
One of the authors was my professor. So, I am biased toward the quality and the material in this book. Because, indeed the author would deliver the material in a much nicer way than others.
Top reviews from other countries
kompletten Unfug, den die blödsinnige Sternebewertung darstellt (leider kann man sie ja beim
Schreiben einer Rezension nicht umgehen). Hier wird nicht
der Inhalt, sondern die Lieferung bewertet. Das ist sicherlich das gute Recht eines Rezensenten
und deshalb überhaupt kein Vorwurf an Minh Duc Hoang! Der Fehler liegt bei Amazon!!
Nach außen sind erstmal nur die drei Sterne zu sehen und kein Mensch weiß
zunächst, dass gar nicht der Inhalt rezensiert wurde.
Ich hoffe, dass irgendwann einmal jemand diesen Sterne-Mist abstellt!
Drei Sterne für so ein hervorragendes Buch?
Es hätte 30 Sterne verdient! Ich habe selten so ein verständlich geschriebenes und zugleich doch
tiefgehendes Buch gelesen. Hier geht es wirklich darum, dem Leser zunächst die Ideen zu vermitteln,
bevor die Details der Beweise diskutiert werden. So sollte ein Mathematik-Buch sein!








