Convex Analysis and Variational Problems (Paperback)

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.

General

Imprint:	Society For Industrial & Applied Mathematics,U.S.
Country of origin:	United States
Series:	Classics in Applied Mathematics, No. 28
Release date:	1987
Authors:	Ivar Ekeland • Roger Temam
Series editors:	Robert O'Malley
Dimensions:	229 x 152 x 22mm (L x W x T)
Format:	Paperback - Trade
Pages:	416
ISBN-13:	978-0-89871-450-0
Categories:	Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Calculus of variations Books > Science & Mathematics > Mathematics > Optimization > Linear programming
LSN:	0-89871-450-8
Barcode:	9780898714500

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