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

• 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
• Physical Description: 1 online resource (XIX, 582 p.)
• Other title: 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
• Format: Mode of access: Internet via World Wide Web.
• ISBN: 9783110590852; 9783110696288; 9783110696271; 9783110659061; 9783110704716; 9783110704518; 9783110704846; 9783110704662
• ISSN: 0941-813X
• DOI: 10.1515/9783110590852
• Access: restricted access
• Hierarchical level: Monograph
• Statement of Responsibility: 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 and optimal design as well as in numerics and applications in materials science, along with an updated treatment of the abstract parts of the theory.