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Jorge Nocedal - Numerical Optimization - 9780387303031 - V9780387303031
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Numerical Optimization

€ 77.23
€ 76.86
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Description for Numerical Optimization Hardcover. The new edition of this book presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It is enhanced by new chapters on nonlinear interior methods and derivative-free methods for optimization. Series: Springer Series in Operations Research and Financial Engineering. Num Pages: 688 pages, 8 black & white tables, biography. BIC Classification: PBU. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 264 x 181 x 44. Weight in Grams: 1464.

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 ... Read more

There is a selected solutions manual for instructors for the new edition.   


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Product Details

Publisher
Springer-Verlag New York Inc. United States
Number of pages
688
Format
Hardback
Publication date
2006
Series
Springer Series in Operations Research and Financial Engineering
Condition
New
Number of Pages
664
Place of Publication
New York, NY, United States
ISBN
9780387303031
SKU
V9780387303031
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-3

Reviews for Numerical Optimization
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 ... Read more

Goodreads reviews for Numerical Optimization


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