Results 11 to 20 of about 70,223 (191)
Gap Functions and Algorithms for Variational Inequality Problems
We solve several kinds of variational inequality problems through gap functions, give algorithms for the corresponding problems, obtain global error bounds, and make the convergence analysis.
Congjun Zhang, Baoqing Liu, Jun Wei
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An approximation theorem and generic convergence for equilibrium problems
In this paper, we prove an approximation theorem for equilibrium problems and provide theoretical support for many algorithms. Simon’s bounded rationality is illustrated by an approximation theorem, that is, bounded rationality is approaching full ...
Xiaoling Qiu, Wensheng Jia, Dingtao Peng
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Quantitative stability analysis of stochastic generalized equations [PDF]
We consider the solution of a system of stochastic generalized equations (SGE) where the underlying functions are mathematical expectation of random set-valued mappings.
Dentcheva D. +8 more
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Disparity and Optical Flow Partitioning Using Extended Potts Priors [PDF]
This paper addresses the problems of disparity and optical flow partitioning based on the brightness invariance assumption. We investigate new variational approaches to these problems with Potts priors and possibly box constraints.
Cai, Xiaohao +4 more
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Second-order subdifferential calculus with applications to tilt stability in optimization [PDF]
The paper concerns the second-order generalized differentiation theory of variational analysis and new applications of this theory to some problems of constrained optimization in finitedimensional spaces. The main attention is paid to the so-called (full
Mordukhovich, B. S., Rockafellar, R. T.
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Restrictive metric regularity and generalized differential calculus in Banach spaces
We consider nonlinear mappings f:X→Y between Banach spaces and study the notion of restrictive metric regularity of f around some point x¯, that is, metric regularity of f from X into the metric space E=f(X).
Boris S. Mordukhovich, Bingwu Wang
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Contingent derivatives and regularization for noncoercive inverse problems
We study the inverse problem of parameter identification in non-coercive variational problems that commonly appear in applied models. We examine the differentiability of the set-valued parameter-to-solution map by using the first-order and the second ...
Clason, Christian +3 more
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We glance at recent advances to the general theory of maximal (set-valued) monotone mappings and their role demonstrated to examine the convex programming and closely related field of nonlinear variational inequalities. We focus mostly on applications of
Ravi P. Agarwal, Ram U. Verma
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Applying Metric Regularity to Compute a Condition Measure of a Smoothing Algorithm for Matrix Games
We develop an approach of variational analysis and generalized differentiation to conditioning issues for two-person zero-sum matrix games. Our major results establish precise relationships between a certain condition measure of the smoothing first-order
Mordukhovich, Boris +2 more
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Painlevé-Kuratowski convergence for set optimization solutions using improvement sets
This paper investigates the Painlevé-Kuratowski convergence of solution sets in set optimization problems under perturbations. By introducing the notion of [Formula: see text]-[Formula: see text]-Strictly quasiconvexity for set-valued mappings, we ...
Taiyong Li, Manli Yang
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