Finite Element Method for Hemivariational Inequalities: Theory, Methods and Applications (Nonconvex Optimization and Its Applications, 35)

Haslinger, J.; Miettinen, M.; Panagiotopoulos, Panagiotis D.

ISBN 10: 0792359518 / ISBN 13: 9780792359517

Editore: Springer, 1999

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Dati bibliografici

• Titolo: Finite Element Method for Hemivariational Inequalities: Theory, Methods and Applications (Nonconvex Optimization and Its Applications, 35)
• Editore: Springer
• Data di pubblicazione: 1999
• Lingua: Inglese
• ISBN 10: 0792359518
• ISBN 13: 9780792359517
• Rilegatura: Rilegato
• Condizione: New

Descrizione articolo

Riassunto

Hemivariational inequalities represent an important class of problems in nonsmooth and nonconvex mechanics. By means of them, problems with nonmonotone, possibly multivalued, constitutive laws can be formulated, mathematically analyzed and finally numerically solved. The present book gives a rigorous analysis of finite element approximation for a class of hemivariational inequalities of elliptic and parabolic type. Finite element models are described and their convergence properties are established. Discretized models are numerically treated as nonconvex and nonsmooth optimization problems. The book includes a comprehensive description of typical representants of nonsmooth optimization methods. Basic knowledge of finite element mathematics, functional and nonsmooth analysis is needed. The book is self-contained, and all necessary results from these disciplines are summarized in the introductory chapter.
Audience: Engineers and applied mathematicians at universities and working in industry. Also graduate-level students in advanced nonlinear computational mechanics, mathematics of finite elements and approximation theory. Chapter 1 includes the necessary prerequisite materials.

Contenuti

Preface. List of Notations. Introduction. Part I: Introductory Topics. 1. Mathematical Preliminaries. 2. Nonsmooth Mechanics. Part II: Finite Element Approximation of Hemivariational Inequalities. 3. Approximation of Elliptic Hemivariational Inequalities. 4. Time Dependent Case. Part III: Nonsmooth Optimization Methods. 5. Nonsmooth Optimization Methods. Part IV: Numerical Examples. 6. Numerical Examples. Index.