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Convex Analysis and Variational Problems

By: Ekeland, Ivar Temam, Roger O'Malley, Robert(Series edited by)

Part of the Classics in Applied Mathematics series
0898714508 / 9780898714500
Stock expected by 27/10/2021
United States
152 x 229 mm, 568 grams 416 pages, bibliography, index
Professional & Vocational  Learn More

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.


PBKQ Calculus of variations, PBUH Linear programming

Our price£44.00
RRP £55.00
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