2014
DOI: 10.1007/s10957-014-0521-y
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A Study of Regularization Techniques of Nondifferentiable Optimization in View of Application to Hemivariational Inequalities

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Cited by 29 publications
(19 citation statements)
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“…Here also interesting parameter identification problems arise. When the nonmonotone boundary conditions are of max or min or min-max type, advanced regularization techniques, see [27,19] for the forward problem, are applicable.…”
Section: Concluding Remarks -An Outlookmentioning
confidence: 99%
“…Here also interesting parameter identification problems arise. When the nonmonotone boundary conditions are of max or min or min-max type, advanced regularization techniques, see [27,19] for the forward problem, are applicable.…”
Section: Concluding Remarks -An Outlookmentioning
confidence: 99%
“…Theorem 6.1 [37] (General approximation result) Under the hypotheses (H1)-(H6), there exist a solution ut to the approximate problem V I(ψt , ft , Kt ) and the family {ut } is bounded in X. Moreover, there exists a subnet of {ut } that converges weakly in X to a solution of the problem V I(ψ, f , K).…”
Section: N Ovcharovamentioning
confidence: 98%
“…Finally, we note that the existence of a solution to problem , respectively , relies on the pseudomonotonicity of the nonsmooth boundary functional and has been investigated in . We recall that the functional φ:X×XR, where X is a real reflexive Banach space, is pseudomonotone if unu (weakly) in X and liminfnφ(un,u)0 imply limsupnφ(un,v)φ(u,v) for all v ∈ X .…”
Section: Boundary Integral Operator Formulationmentioning
confidence: 99%
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“…In this section, we review from [32,34] a class of smoothing approximations for nonsmooth functions that can be re-expressed by means of the plus function p(t) = t + = max{t, 0}. The approximation is based on smoothing of the plus function via convolution.…”
Section: Regularization Of the Nonsmooth Functionalmentioning
confidence: 99%