Results 211 to 220 of about 22,103,434 (252)
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Sensitivity analysis for nonsmooth generalized equations
Mathematical Programming, 1992In this paper a generalized parametric equation (1) \(0\in f(p,x)+N(x)\), where \(f\) is a given function from \(\Omega\times \mathbb{R}^ n\) to \(\mathbb{R}^ m\), \(N\) a multifunction from \(\mathbb{R}^ n\) to \(\mathbb{R}^ m\), and \(p\) an element of an open subset \(\Omega\) of a normed linear space, is considered.
R. Tyrrell Rockafellar, Alan J. King
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Impacts on Nonsmooth Analysis [PDF]
We discuss the notions of regular and critical points/values for nonsmooth functions. The notion of topologically regular points for min-type functions is introduced. It is shown that the level set of a min-type function corresponding to a regular value, is a Lipschitz manifold.
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Elements of Nonsmooth Analysis
2014A differential construct that applies to nonsmooth functions is useful in general. The proximal supergradient admits a very complete calculus for upper semicontinuous functions and perfectly suits the nonsmooth \(\mathcal{L}_{2}\)-gain analysis to be developed in this chapter.
Luis T. Aguilar, Yury Orlov
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Nonsmooth analysis in measurement processing
Measurement Techniques, 2009It is shown that processing dynamic measurements is an inverse problem in relation to cause-effect consequences and belongs to the class of turning-point methods, while nonsmooth analysis provides the necessary conditions for a minimum in the error functional in the form of a combined maximum principle.
A. A. Kostoglotov, S. V. Lazarenko
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Elements of Nonsmooth Analysis
2003In this Chapter we recall important definitions and results from the theory of generalized gradient for locally Lipschitz functionals due to Clarke [8], different nonsmooth versions of Palais-Smale conditions and basic elements of nonsmooth calculus developed by Degiovanni [9], [10].
Dumitru Motreanu+1 more
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Convergence and rate analysis of a proximal linearized ADMM for nonconvex nonsmooth optimization
Journal of Global Optimization, 2022Maryam Yashtini
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Elements of Nonsmooth Analysis
1993The aim of Chapter 1 is to provide some notions and propositions of Nonsmooth Analysis that will be used in the next Chapters for the study of engineering problems leading to hemivariational inequalities. The propositions are given here without proofs.
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Lidskii's Theorem via Nonsmooth Analysis
SIAM Journal on Matrix Analysis and Applications, 2000Summary: Lidskii's theorem on eigenvalue perturbation is proved via a nonsmooth mean value theorem.
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Variational pairs and applications to stability in nonsmooth analysis
Nonlinear Analysis: Theory, Methods & Applications, 2002In the paper, it is pointed out that many of the basic results of nonsmooth analysis (e.g., subdifferential calculus, mean-value inequalities and optimality conditions) can be derived directly by general variational principles. In this manner, the authors provide a general definition of a variational pair \((X,\delta)\) where \(X\) is a complete metric
D. Azè+2 more
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Variational and Monotonicity Methods in Nonsmooth Analysis
Frontiers in Mathematics, 2021Nicuşor Costea, A. Kristály, C. Varga
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