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Convex Analysis (Princeton Landmarks in Mathematics and Physics)
 
 
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Convex Analysis (Princeton Landmarks in Mathematics and Physics) [Paperback]

Ralph Tyrell Rockafellar (Author)
4.0 out of 5 stars  See all reviews (7 customer reviews)

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Book Description

December 23, 1996 0691015864 978-0691015866

Available for the first time in paperback, R. Tyrrell Rockafellar's classic study presents readers with a coherent branch of nonlinear mathematical analysis that is especially suited to the study of optimization problems. Rockafellar's theory differs from classical analysis in that differentiability assumptions are replaced by convexity assumptions. The topics treated in this volume include: systems of inequalities, the minimum or maximum of a convex function over a convex set, Lagrange multipliers, minimax theorems and duality, as well as basic results about the structure of convex sets and the continuity and differentiability of convex functions and saddle- functions.

This book has firmly established a new and vital area not only for pure mathematics but also for applications to economics and engineering. A sound knowledge of linear algebra and introductory real analysis should provide readers with sufficient background for this book. There is also a guide for the reader who may be using the book as an introduction, indicating which parts are essential and which may be skipped on a first reading.


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Editorial Reviews

Review

This book should remain for some years as the standard reference for anyone interested in convex analysis. -- J. D. Pryce, Edinburgh Mathematical Society

Product Details

  • Paperback: 469 pages
  • Publisher: Princeton University Press (December 23, 1996)
  • Language: English
  • ISBN-10: 0691015864
  • ISBN-13: 978-0691015866
  • Product Dimensions: 8.9 x 6 x 1 inches
  • Shipping Weight: 1.4 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (7 customer reviews)
  • Amazon Best Sellers Rank: #521,497 in Books (See Top 100 in Books)

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7 Reviews
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Average Customer Review
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3 of 3 people found the following review helpful:
4.0 out of 5 stars Very Good, May 9, 2007
This review is from: Convex Analysis (Princeton Landmarks in Mathematics and Physics) (Paperback)
This book is a classic. It is probably the best reference book although it is tough to read from the beginning untill the end. The style is heavy and you need strong mathematical background to understand it.

Anyway, if you need a result on convex functions or convex analysis it is very likely that you will find it in ths book.
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2 of 2 people found the following review helpful:
5.0 out of 5 stars The classic convex analysis book, October 21, 2009
This review is from: Convex Analysis (Princeton Landmarks in Mathematics and Physics) (Paperback)
This is the most important and influential book ever written on convex analysis and optimization. Based on the works of Fenchel and other mathematicians from the 50s and early 60s (such as the Princeton school), Rockafellar takes the subject to a new level, with a deep and comprehensive synthesis, focused primarily on a definitive development of duality theory, and of the convex analysis that supports it. This is the place to start if you are looking for a result on the theory and convex sets and functions, or duality theory; the book is comprehensive. This is not an easy book to read, and it would benefit from illustrations and exercises (it has none). However, its value and profound influence on the field are hard to overestimate.
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4.0 out of 5 stars good, August 8, 2011
I bought the old version. I'm sure the new version is a little easier to read, maybe with some pictures included. The old version is very dense, but this can be good if you already know a bit about the field.
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Inside This Book (learn more)
First Sentence:
Throughout this book, R denotes the real number system, and Rn is the usual vector space of real n-tuples x = ( 1,..., n). Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
convex bifunction, ordinary convex program, closed proper convex function, generalized convex programs, concave bifunctions, positively homogeneous proper convex function, conjugacy correspondence, function whose effective domain, improper convex function, proper concave function, polyhedral convex function, polyhedral convexity, monotone conjugacy, finite convex function, convex process, weak linear inequalities, same relative interior, quadratic convex function, relative boundary points, polyhedral convex set, lineality space, closed convex function, proper convex functions, supremum relative, polarity correspondence
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Carathéodory's Theorem, Helly's Theorem, Kuhn-Tucker Theorem
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