Download Ebook Numerical Optimization (Springer Series in Operations Research and Financial Engineering)
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Numerical Optimization (Springer Series in Operations Research and Financial Engineering)
Download Ebook Numerical Optimization (Springer Series in Operations Research and Financial Engineering)
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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."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."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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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
Series: Springer Series in Operations Research and Financial Engineering
Hardcover: 664 pages
Publisher: Springer; 2nd edition (July 27, 2006)
Language: English
ISBN-10: 0387303030
ISBN-13: 978-0387303031
Product Dimensions:
7 x 1.5 x 10 inches
Shipping Weight: 2.6 pounds (View shipping rates and policies)
Average Customer Review:
4.6 out of 5 stars
33 customer reviews
Amazon Best Sellers Rank:
#194,991 in Books (See Top 100 in Books)
Trained a physicist before I went into applied math and computer science I thoroughly enjoy this book. It math is not light but not that heavy either. I wouldn't consider it math at graduate level as most of the material is applicable to an undergrad with 1 year of calculus and another of linear algebra. A bit more of statistical elaborations might be useful for a third edition, given the current focus on machine learning. Anyhow as a first book it is still excellent.
Not the easiest to read at times but a classic, solid math and algorithms book. Comprehensive appendix for the math used, detailed (enough) proofs for the material presented and a good balance between examples and theory.
The book does a very good job in teaching non-discrete mathematical programming techniques. But, it is not an introductory book. The reader is supposed to know linear algebra and numerical analysis to a certain extent. Most of the modern techniques are presented, but the layout is a little chaotic- the sequence of subjects could be made better. So, I would have preferred to give it 4.5 stars (which is impossible). However, that does not take away the fact that the book is excellent. I have used it primarily for modelling financial portfolios, and I am sure it can be used as a guide for other applications.Conclusion: A little difficult, but well worth the time and money involved
Amazing book, excellent style.Perfect for an introductory class in numerical optimisation at grad level.
This book is a well-written, outstanding reference for anyone interested in understanding, using, and/or implementing state-of-the-art techniques in nonlinear optimization. Ample attention is paid to both constrained and unconstrained problem types, with a healthy and refreshing emphasis on trust-region strategies, and modern SQP and Interior-Point algorithms. Sufficient detail is paid to most topics while overall perspectives are well-maintained. This book is the very best of its kind for its intended audience. I strongly recommend it.
Outstanding text. Very useful. Pushed my research ahead quickly.
Excellent as a algorithms reference! Not so good as explaining the mathematical background.
Wonderfully conversational and extremely approachable. Most texts must be read very slowly, but this is one of the few that can be read by bedside without pen and paper. The problems will test you ability significantly though.
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