Convex Analysis and Variational Problems


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By Ivar Ekeland, Roger Temam
Imprint:
SIAM - SOCIETY FOR INDUSTRIAL AND APPLIED
Release Date:
Format:
PAPERBACK
Dimensions:
229 x 152 mm
Weight:
560 g
Pages:
416

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Description

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.

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