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Variational Analysis in Sobolev and BV Spaces

Applications to PDEs and Optimization

Specificaties
Paperback, 650 blz. | Engels
Society for Industrial and Applied Mathematics | 1987
ISBN13: 9780898716009
Rubricering
Society for Industrial and Applied Mathematics e druk, 1987 9780898716009
Onderdeel van serie MPS-SIAM Series on O
€ 163,88
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Samenvatting

This self-contained book is excellent for graduate-level courses devoted to variational analysis, optimization, and partial differential equations (PDEs). It provides readers with a complete guide to problems in these fields as well as a detailed presentation of the most important tools and methods of variational analysis. New trends in variational analysis are also presented, along with recent developments and applications in this area. It contains several applications to problems in geometry, mechanics, elasticity, and computer vision, along with a complete list of references. The book is divided into two parts. In Part I, classical Sobolev spaces are introduced and the reader is provided with the basic tools and methods of variational analysis and optimization in infinite dimensional spaces, with applications to classical PDE problems. In Part II, BV spaces are introduced and new trends in variational analysis are presented.

Specificaties

ISBN13:9780898716009
Taal:Engels
Bindwijze:Paperback
Aantal pagina's:650
Uitgever:Society for Industrial and Applied Mathematics

Inhoudsopgave

Preface; 1. Introduction; Part I. First Part: Basic Variational Principles; 2. Weak solution methods in variational analysis; 3. Abstract variational principles; 4. Complements on measure theory; 5. Sobolev spaces; 6. Variational problems: Some classical examples; 7. The finite element method; 8. Spectral analysis of the Laplacian; 9. Convex duality and optimization; Part II. Second Part: Advanced Variational Analysis; 10. Spaces BV and SBV; 11. Relaxation in Sobolev, BV and Young measures spaces; 12. z-convergence and applications; 13. Integral functionals of the calculus of variations; 14. Application in mechanics and computer vision; 15. Variational problems with a lack of coercivity; 16. An introduction to shape optimization problems; Bibliography; Index.
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        Variational Analysis in Sobolev and BV Spaces