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Titlebook: Hemivariational Inequalities; Applications in Mech Panagiotis D. Panagiotopoulos Book 1993 Springer-Verlag Berlin Heidelberg 1993 Different

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31#
發(fā)表于 2025-3-26 23:50:08 | 只看該作者
Nonsmooth Mechanics Invex superpotentials. We consider boundary conditions and material laws resulting from convex or nonconvex, nonsmooth energy functions using the concept of sub differential or of generalized gradient. For additional information on these subjects the reader is referred to the monographs and books of
32#
發(fā)表于 2025-3-27 04:17:48 | 只看該作者
33#
發(fā)表于 2025-3-27 05:25:44 | 只看該作者
Multivalued Boundary Integral Equationsral boundary equations. Analogous results hold for interface problems with the difference that, in this case the multivalued integral equations are extended over the interface. As the present chapter is rather brief, we refer the reader to the monograph by Antes and the author [Ant92] and to the mon
34#
發(fā)表于 2025-3-27 12:41:16 | 只看該作者
35#
發(fā)表于 2025-3-27 15:13:04 | 只看該作者
36#
發(fā)表于 2025-3-27 21:48:50 | 只看該作者
37#
發(fā)表于 2025-3-28 00:19:56 | 只看該作者
On the Numerical Treatment of Hemivariational Inequalitiesgineering applications we deal with realistic problems, which have a large number of unknowns. After a short description of the first attempts to find the numerical solution of a hemivariational inequalities we deal mainly with four methods which seem today to be quite efficient for nonmonotone poss
38#
發(fā)表于 2025-3-28 02:51:15 | 只看該作者
39#
發(fā)表于 2025-3-28 06:33:54 | 只看該作者
The Method of Substationary Point Searchth the search for the substationarity points of the potential or the complementary energy of the structure. We recall (cf. Sect. 4.3) that besides all local minima, substationarity points are also the classical stationary points and some local maxima (cf. Sect. 1.2). Note that a hemivariational ineq
40#
發(fā)表于 2025-3-28 13:32:45 | 只看該作者
On a Decomposition Method into Two Convex Problemsially with problems for which the nonconvex nonsmooth superpotential can be expressed as the difference of two convex functions. In this case the problem can be decomposed into two variational inequalities or equivalently into two convex minimization problems. The method presented here leads to an e
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