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

Autor J. Haslinger, M. Miettinen, Panagiotis D. Panagiotopoulos
en Limba Engleză Hardback – 31 aug 1999
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.
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Specificații

ISBN-13: 9780792359517
ISBN-10: 0792359518
Pagini: 260
Ilustrații: XXV, 260 p.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.59 kg
Ediția:1999
Editura: Springer Us
Colecția Springer
Seria Nonconvex Optimization and Its Applications

Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

I Introductory Topics.- 1. Mathematical Preliminaries.- 2. Nonsmooth Mechanics.- II Finite Element Approximation of Hemivariational Inequalities.- 3. Approximation of Elliptic Hemivariational Inequalities.- 4. Time Dependent Case.- III Nonsmooth Optimization Methods.- 5. Nonsmooth Optimization Methods.- IV Numerical Examples.- 6. Numerical Examples.