Relaxation in Optimization Theory and Variational Calculus /

Relaxation in Optimization Theory and Variational Calculus / / Tomáš Roubíček.

The relaxation method has enjoyed an intensive development during many decades and this new edition of this comprehensive text reflects in particular the main achievements in the past 20 years. Moreover, many further improvements and extensions are included, both in the direction of optimal control...

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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter DG Ebook Package English 2020
VerfasserIn:
Roubíček, Tomáš,
MitwirkendeR:
Roubíček, Tomás,
Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2020]
©2020
Year of Publication:2020
Edition:2nd Revised and Extended Edition
Language:English
Series:De Gruyter Series in Nonlinear Analysis and Applications , 4
Online Access:
Physical Description:1 online resource (XIX, 582 p.)
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Table of Contents:
  • Frontmatter
  • Contents
  • Preface
  • Preface to the second edition
  • 1 Background Generalities
  • 2 Theory of Convex Compactifications
  • 3 Young Measures and Their Generalizations
  • 4 Relaxation in Optimization Theory
  • 5 Relaxation in Variational Calculus: Scalar Case
  • 6 Relaxation in Variational Calculus: Vectorial Case
  • 7 Relaxation in Game Theory
  • 8 Relaxation in evolutionary problems
  • Bibliography
  • List of Symbols
  • Index

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