No one working in duality should be without a copy of this book. It contains different developments of infinite dimensional convex programming in the context of convex analysis, including duality, minmax and Lagrangians, and convexification of nonconvex optimization problems in the calculus of variations (infinite dimension). It also includes the theory of convex duality applied to partial differential equations; no other reference presents this in a systematic way.
The minmax theorems contained in this book have many useful applications, in particular the robust control of partial differential equations in finite time horizon. This SIAM Classics in Applied Mathematics edition contains the original text along with a new preface and some additional references.
| ISBN: | 9780898714500 |
| Publication date: | 30th November 1999 |
| Author: | I Ekeland, Roger Temam |
| Publisher: | Society for Industrial and Applied Mathematics an imprint of SIAM - Society for Industrial and Applied Mathematics |
| Format: | Paperback |
| Pagination: | 402 pages |
| Series: | Classics in Applied Mathematics |
| Genres: |
Applied mathematics Calculus and mathematical analysis |
No one working in duality should be without a copy of this book. It contains different developments of infinite dimensional convex programming in the context of convex analysis, including duality, minmax and Lagrangians, and convexification of nonconvex optimization problems in the calculus of variations (infinite dimension).
Convex Analysis and Variational Problems features in the following genres: Applied mathematics, Calculus and mathematical analysis
Paperback. Not Available.
Convex Analysis and Variational Problems was written by I Ekeland, Roger Temam and published by Society for Industrial and Applied Mathematics an imprint of SIAM - Society for Industrial and Applied Mathematics
Convex Analysis and Variational Problems has 402 pages
Yes it is part of Classics in Applied Mathematics series