نتایج جستجو برای: limiting subdifferential
تعداد نتایج: 81894 فیلتر نتایج به سال:
In this paper we study the minimax control of systems governed by a nonlinear evolution inclusion of the subdifferential type. Using some continuity and lower semicontinuity results for the solution map and the cost functional respectively, we are able to establish the existence of an optimal control. The abstract results are then applied to obstacle problems, semilinear systems with weakly var...
Abstract: We study optimal control of systems governed by a coupled system of hemivariational inequalities, modeling a dynamic thermoviscoelastic problem, which describes frictional contact between a body and a foundation. We employ the Kelvin-Voigt viscoelastic law, include the thermal effects and consider the general nonmonotone and multivalued subdifferential boundary conditions. We consider...
Many interesting real functions on Euclidean space are differentiable almost everywhere. All Lipschitz functions have this property, but so, for example, does the spectral abscissa of a matrix (a non-Lipschitz function). In practice, the gradient is often easy to compute. We investigate to what extent we can approximate the Clarke subdifferential of such a function at some point by calculating ...
In this paper, we introduce and study some new single-valued gap functions for non-differentiable semi-infinite multiobjective optimization problems with locally Lipschitz data. Since one of the fundamental properties of gap function for optimization problems is its abilities in characterizing the solutions of the problem in question, then the essential properties of the newly introduced ...
Generalized derivatives of the optimal value of a linear program with respect to matrix coefficients
We present here a characterization of the Clarke subdifferential optimal value function linear program as matrix coefficients. generalize result Freund (1985) to cases where derivatives may not be defined because existence multiple primal or dual solutions.
This paper deals with the strong approximate subdifferential formula for difference of two vector convex mappings in terms star difference. is obtained via a scalarization process by using real functions established Martinez-Legaz and Seeger, concept regular subdifferentiability. allows us to establish optimality conditions characterizing efficient solution general DC problem multiobjective fra...
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