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

Jorge Nocedal , Stephen Wright
4.4 out of 5 stars  See all reviews (14 customer reviews)

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Book Description

August 22, 2006 0387303030 978-0387303031 2nd
Optimization is an important tool used in decision science and for the analysis of physical systems used in engineering. One can trace its roots to the Calculus of Variations and the work of Euler and Lagrange. This natural and reasonable approach to mathematical programming covers numerical methods for finite-dimensional optimization problems. It begins with very simple ideas progressing through more complicated concepts, concentrating on methods for both unconstrained and constrained optimization.

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Numerical Optimization (Springer Series in Operations Research and Financial Engineering) + Convex Optimization + Nonlinear Programming
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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."

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

  • Series: Springer Series in Operations Research and Financial Engineering
  • Hardcover: 664 pages
  • Publisher: Springer; 2nd edition (August 22, 2006)
  • Language: English
  • ISBN-10: 0387303030
  • ISBN-13: 978-0387303031
  • Product Dimensions: 10.2 x 7.3 x 1.8 inches
  • Shipping Weight: 2.6 pounds (View shipping rates and policies)
  • Average Customer Review: 4.4 out of 5 stars  See all reviews (14 customer reviews)
  • Amazon Best Sellers Rank: #469,304 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews
6 of 6 people found the following review helpful
5.0 out of 5 stars outstanding May 15, 2007
Format:Hardcover|Verified Purchase
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.
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22 of 28 people found the following review helpful
Format:Hardcover
While I acknowledge the many good points that the other reviewers pointed out, I found this book less than "optimal" in a number of respects.

The text is very wordy and yet still sometimes lacks critical explanations. In particular, I found that the motivation for the ideas in earlier chapters is insufficient for the skeptical and questioning reader--one needs to put more trust in the author than I was comfortable with. The lines of reasoning used to motivate the methods are vague: Nocedal spends too much time talking about optimization from a distance. I would have appreciated a book that was more concise and that had more airtight reasoning, exploring questions more thoroughly.

I also feel that this book is impoverished with respect to algorithms. One does not encounter enough algorithms early on, and the book does not encourage enough experimentation. It also suffers from the very common "sin" among Numerical mathematics texts--it talks extensively about the convergence of algorithms before cultivating a deep understanding of those algorithms. The effect is that the reader gets bogged down with technical details. While the motivated reader can go off on her own and experiment to fill in these gaps and piece together the puzzle, I think most people who have this level of initiative and intellectual curiosity would be better served by a book that is more concise.

Following on this same theme, the level of explanation is not consistent with the level of background required to read the book. Some things are explained in a level of detail appropriate to an introductory undergraduate text, but the book requires substantial background in multivariable calculus and linear algebra.
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4 of 5 people found the following review helpful
5.0 out of 5 stars The best book for engineers that want to implement too October 2, 2008
Format:Hardcover|Verified Purchase
The book is quite complete and goes directly to the point. if you ever need optimization in your design you will find it here. Simple and well presented. It has enough details about algorithmic performance and description that should be enough to implement. It is a book that you will never regret having it in your library. If you want something more theoretical use Nonlinear Programming by Bertsekas. If you want to use optimization in your programs use this.
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2 of 3 people found the following review helpful
4.0 out of 5 stars Optimal textbook June 2, 2009
Format:Hardcover|Verified Purchase
This textbook is kind of expensive (like many textbooks) but it is worthy. Everything about optimization is inside, well written and in details. And since everything is optimization, it can be really useful for all areas. I have just taken my final today in optimization with Nocedal as the instructor. He is as clear as his book, maybe more funny!
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5.0 out of 5 stars a classic June 17, 2014
Format:Hardcover|Verified Purchase
The best text book on the various issues around steepest descent, conjugate gradient, Newtonian methods etc. Clearly show you why you still need to care about steepest-descent even though we were taught it is much slower than Newton or CG. Those that are practical oriented might have ignored the key role SD play in many methods to guarantee convergence (or progress).

Very good write up on the Wolfe condition, Cauchy point, and trust region.
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5.0 out of 5 stars THE book on numerical optimization May 4, 2014
Format:Hardcover|Verified Purchase
Worth its weight in gold. This book covers both trust-region and hill-climbing methods. It is the place to start when you are getting into optimization in a serious way.
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1 of 2 people found the following review helpful
5.0 out of 5 stars A great textbook April 9, 2013
Format:Hardcover|Verified Purchase
This book covers all the frequently appearing optimization problems and the optimization methods.
It provides you all the necessary details so that you can understand the mathematical backgrounds and also you can implement the algorithms by yourself. The book is balanced very well. Absolutely great. I love this book.
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Most Recent Customer Reviews
5.0 out of 5 stars Very detailed!
I bought this to complement walter murray's class on the subject. It was very detailed and the pictures were quite useful.
Published 14 months ago by Ryan H. Lewis
1.0 out of 5 stars poor book
poor explanations and difficult proofs. the reason for difficulty in proofs is not the mathematical level but rather the ambiguity on what is tried to be done at each step. Read more
Published 15 months ago by just_me
4.0 out of 5 stars Pretty good book
It's a goob book. Easy to read, written algorithms and a wide range of themes that go from Linear Programing to Nonlinear Optimization.
Published on October 4, 2008 by Axel Guillermo Martinez Ambrosi
5.0 out of 5 stars Great book in optimization
I think this is a book that teaches optimization methods in a clear and concise manner, of course you migth need a strong math background to understand the proofs. Read more
Published on September 28, 2008 by C. Gamez
5.0 out of 5 stars Good
I can't give a feedback for a book (coz' I bought it for my husband and don't read it myself), but I definitely recommend buying from Amazon!!!
Published on February 15, 2008 by Jersey Girl
5.0 out of 5 stars Numerical Optimization Review
This book arrived quickly and in excellent condition. I couldn't ask for anything else.
Published on February 14, 2008 by amabonsu
5.0 out of 5 stars good quality
It is a very important book to me, so I was very glad when I received a really brand new one.
Published on September 27, 2007 by Yannan Sun
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