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Convex Analysis and Variational Problems PDF

417 Pages·1987·33.06 MB·English
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by Ivar Ekeland, Roger Témam| 1987| 417 pages| 33.06| English

About Convex Analysis and Variational Problems

No one working in duality should be without a copy of Convex Analysis and Variational Problems. This book 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. First published in English in 1976, this SIAM Classics in Applied Mathematics edition contains the original text along with a new preface and some additional references.

Detailed Information

Author:Ivar Ekeland, Roger Témam
Publication Year:1987
ISBN:898714508
Pages:417
Language:English
File Size:33.06
Format:PDF
Price:FREE
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