نتایج جستجو برای: strongly monotone mapping

تعداد نتایج: 423698  

2013
Li Li Houchun Zhou Shuangshuang Xie Hongchun Sun

In this paper, the generalized variational inequality with multi-valued mapping (GVI) is considered. To solve the problem, we first establish a global error bound estimation for GVI with the underlying multi-valued mapping being   strict monotone and Holder continuous. Based on this, we propose a new type of method to solve the GVI, and its global convergence is also established. Keywords-GVI...

2006
Yu. Nesterov L. Scrimali

In this paper we develop a new and efficient method for variational inequality with Lipschitz continuous strongly monotone operator. Our analysis is based on a new strongly convex merit function. We apply a variant of the developed scheme for solving quasivariational inequality. As a result, we significantly improve the standard sufficient condition for existence and uniqueness of their solutio...

1998
Jane Ye

In this paper we derive necessary optimality conditions involving Mordukhovich coderivatives for optimal control problems of strongly monotone variational inequalities.

Journal: :Automatica 2022

This paper studies an N -coalition non-cooperative game problem, where the players in same coalition cooperatively minimize sum of their local cost functions under a directed communication graph , while collectively acting as virtual player to play with other coalitions. Moreover, it is assumed that have no access explicit functional form but only function value costs. To solve discrete-time gr...

Journal: :Proceedings of the National Academy of Sciences 1983

Journal: :Comp. Opt. and Appl. 2009
Barbara Panicucci Massimo Pappalardo Mauro Passacantando

We propose a descent method via gap functions for solving nonsmooth variational inequalities with a locally Lipschitz operator. Assuming monotone operator (not necessarily strongly monotone) and bounded domain, we show that the method with an Armijo-type line search is globally convergent. Finally, we report some numerical experiments.

2001
Dieter Schott

Strongly Fejér monotone mappings are widely used to solve convex problems by corresponding iterative methods. Here the maximal of such mappings with respect to set inclusion of the images are investigated. These mappings supply restriction zones for the successors of Fejér monotone iterative methods. The basic tool is the representation of the images by intersection of certain balls.

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