Convex analysis is one of the mathematical tools which is used both explicitly and indirectly in many mathematical disciplines. However, there are not so many courses which have convex analysis as the main topic. More often, parts of convex analysis are taught in courses like linear or nonlinear opt
Convex analysis
โ Scribed by R. Tyrrell Rockafellar
- Book ID
- 127419313
- Publisher
- Princeton University Press
- Year
- 1970
- Tongue
- English
- Weight
- 3 MB
- Series
- Princeton mathematical series 28
- Category
- Library
- City
- Princeton, N.J
- ISBN-13
- 9780691080697
No coin nor oath required. For personal study only.
โฆ Synopsis
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. "This book should remain for some years as the standard reference for anyone interested in convex analysis." J. D. Pryce, Edinburgh Mathematical Society
๐ SIMILAR VOLUMES
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 assu