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Call Number 519.3
Author Ekeland, I. (Ivar), 1944-
Filing Title Analyse convexe et problèmes variationnels.
Title Convex analysis and variational problems [electronic resource] / Ivar Ekeland, Roger Témam.
Publication Philadelphia, Pa. : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), 1999.
Material Info. 1 electronic text (xiv, 402 p.) : digital file.
Series Classics in applied mathematics ; 28
Series Classics in applied mathematics ; 28.
Summary Note 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.
Notes English language ed. originally published: Amsterdam : North-Holland Pub. Co. ; New York : American Elsevier Pub. Co. [distributor], 1976, in series: Studies in mathematics and its applications ; v. 1.
Notes Includes bibliographical references (p. 391-401) and index.
Notes Preface to the Classics edition -- Preface -- Part One. Fundamentals of convex analysis. Chapter I. Convex functions -- Chapter II. Minimization of convex functions and variational inequalities -- Chapter III. Duality in convex optimization -- Part Two. Duality and convex variational problems. Chapter IV. Applications of duality to the calculus of variations (I) -- Chapter V. Applications of duality to the calculus of variations (II) -- Chapter VI. Duality by the minimax theorem -- Chapter VII. Other applications of duality -- Part Three. Relaxation and non-convex variational problems. Chapter VIII. Existence of solutions for variational problems -- Chapter IX. Relaxation of non-convex variational problems (I) -- Chapter X. Relaxation of non-convex variational problems (II) -- Appendix I. An a priori estimate in non-convex programming -- Appendix II. Non-convex optimization problems depending on a parameter -- Comments -- Bibliography -- Index.
ISBN 9781611971088 (electronic bk.)
Subject Mathematical optimization.
Subject Convex functions.
Subject Calculus of variations.
Subject Convex analysis
Subject Relaxation
Subject Non-convex
Subject Variational problems
Subject Duality
Subject Minimax theorem
Added Entry Temam, Roger.
Added Entry Society for Industrial and Applied Mathematics.
Date Year, Month, Day:01405141
Link SIAM

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