A method for solving semi-coercive variational inequalities based on the method of iterative proximal regularization (Q2387068)
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| English | A method for solving semi-coercive variational inequalities based on the method of iterative proximal regularization |
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A method for solving semi-coercive variational inequalities based on the method of iterative proximal regularization (English)
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26 August 2005
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The authors consider the usual proximal point method in a Hilbert space \(H=H_{1}+H_{2}\), where \(H_{1}\) is finite-dimensional, applied to minimization of a convex function \(\gamma\) over a convex closed subset in \(H\). The function \(\gamma\) is supposed to be strongly convex in the subspace \(H_{2}\). Such methods were considered by \textit{A. A. Kaplan} [Tr. Inst. Mat. 10, 132--159 (1988; Zbl 0671.49037)]. The authors prove the strong convergence of the method and describe its application to an elasticity theory problem with friction.
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proximal methods
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optimization in Hilbert spaces
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strongly convex functions
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applications to elasticity theory
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