Variational Analysis in Sobolev and BV Spaces 2/e

Hedy Attouch is a professor in the Institut de Mathematique et de Modelisation de Montpellier II, where he also has been director of the Laboratory of Convex Analysis and of ACSIOM. His research focuses on variational analysis, convex analysis, continuous optimization, semialgebraic optimization, gradient flows, the interaction among these fields of research, and their applications. He has published more than 100 articles in international journals and has written six books. He serves as editor for several journals on continuous optimization and is responsible for several international research programs. Giuseppe Buttazzo is a professor in the Department of Mathematics at the University of Pisa. He has been a keynote speaker at many international conferences and workshops on the fields of calculus of variations, nonlinear PDEs, applied mathematics, control theory and related topics. He is the author of more than 180 scientific publications and 20 books, and he serves as an editor of several international journals. Gerard Michaille is a professor at the University of Nimes and member of the UMR-CNRS Institut de Mathematique et de Modelisation de Montpellier. He works in the areas of variational analysis, homogenization, and the applications of PDEs in mechanics and physics.

Chapter 1: Introduction Part I: Basic Variational Principles Chapter 2: Weak Solution Methods in Variational Analysis Chapter 3: Abstract Variational Principles Chapter 4: Complements on Measure Theory Chapter 5: Sobolev Spaces Chapter 6: Variational Problems: Some Classical Examples Chapter 7: The Finite Element Method Chapter 8: Spectral Analysis of the Laplacian Chapter 9: Convex Duality and Optimization Part II: Advanced Variational Analysis Chapter 10: Spaces BV and SBV Chapter 11: Relaxation in Sobolev, BV, and Young Measures Spaces Chapter 12: ?-convergence and Applications Chapter 13: Integral Functionals of the Calculus of Variations Chapter 14: Applications in Mechanics and Computer Vision Chapter 15: Variational Problems with a Lack of Coercivity Chapter 16: An Introduction to Shape Optimization Problems Chapter 17: Gradient Flows