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Introductory Lectures on Convex Optimization: A Basic Course (Applied Optimization) [Hardcover]

Y. Nesterov (Author)

(2 customer reviews)

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Book Description

Publication Date: December 31, 2003 | ISBN-10: 1402075537 | ISBN-13: 978-1402075537 | Edition: 2004

This is the first elementary exposition of the main ideas of complexity theory for convex optimization. Up to now, most of the material can be found only in special journals and research monographs. The book covers optimal methods and lower complexity bounds for smooth and non-smooth convex optimization. A separate chapter is devoted to polynomial-time interior-point methods. Audience: The book is suitable for industrial engineers and economists.

#outer_postBodyPS { display: none; } #psGradient { display: none; } #psPlaceHolder { display: none; } #psExpand { display: none; } This is the first elementary exposition of the main ideas of complexity theory for convex optimization. Up to now, most of the material can be found only in special journals and research monographs. The book covers optimal methods and lower complexity bounds for smooth and non-smooth convex optimization. A separate chapter is devoted to polynomial-time interior-point methods. Audience: The book is suitable for industrial engineers and economists.

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Product Details

Hardcover: 254 pages
Publisher: Springer; 2004 edition (December 31, 2003)
Language: English
ISBN-10: 1402075537
ISBN-13: 978-1402075537
Product Dimensions: 6.1 x 0.6 x 9.2 inches
Shipping Weight: 1.2 pounds (View shipping rates and policies)
Average Customer Review: 5.0 out of 5 stars See all reviews (2 customer reviews)
Amazon Best Sellers Rank: #1,276,261 in Books (See Top 100 in Books)

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› Visit Amazon's I?U?. E. Nesterov Page

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Most Helpful Customer Reviews

5.0 out of 5 stars Best book on mathematical optimization April 5, 2013

By Sebastien Bubeck

Format:Hardcover

This is simply the best introduction to mathematical optimization that I know. It contains results that are often omitted such as oracle lower bounds.

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0 of 26 people found the following review helpful

5.0 out of 5 stars not standard description for continuous optimization January 15, 2007

By Toshihiro Kosaki

Format:Hardcover

This book is not described standardly for continuous optimization.

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Citations (learn more)

This book cites 10 books:

Theory and Algorithms for Linear Optimization: An Interior Point Approach by C. Roos in Back Matter
A Mathematical View of Interior-Point Methods in Convex Optimization (MPS-SIAM Series on Optimization) by James Renegar in Back Matter
Introduction to Optimization (Translations Series in Mathematics and Engineering) by Boris T. Polyak in Back Matter
Convex Analysis (Princeton Landmarks in Mathematics and Physics) by Ralph Tyrell Rockafellar in Back Matter
Linear Programming, Second Edition - Foundations and Extensions (International Series in Operations Research and Management Science, Volume 37) ... Research & Management Science, 37.) by Robert J. Vanderbei in Back Matter

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