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Topological Variants of Vector Variational Inequality Problem

La Matematica, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Satish Kumar   +2 more
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Nonsmooth problems; variational inequalities

2012
Many problems in physics and in other applications cannot be formulated as equations but have some more complicated structure, usually of a so-called complementarity problem. From the abstract viewpoint, the equations are replaced by inclusions involving set-valued mappings.
openaire   +1 more source

Analog circuits for solving a class of variational inequality problems

Neurocomputing, 2018
In this paper, we present the analog circuits to solve a class of variational inequality problems (VIPs) based on the projection neural network (PNN) and inertial projection neural network (IPNN) algorithms.
You Zhao, Xing He, Tingwen Huang, Qi Han
semanticscholar   +1 more source

Modified inertial subgradient extragradient method with self adaptive stepsize for solving monotone variational inequality and fixed point problems

Optimization, 2020
In this paper, we study a classical monotone and Lipschitz continuous variational inequality and fixed point problems defined on a level set of a convex function in the setting of Hilbert space.
T. O. Alakoya, L. Jolaoso, O. Mewomo
semanticscholar   +1 more source

A simple projection method for solving quasimonotone variational inequality problems

Optimization and Engineering, 2022
C. Izuchukwu, Y. Shehu, Jen-Chih Yao
semanticscholar   +1 more source

Unconstrained Optimization Reformulations of Variational Inequality Problems

Journal of Optimization Theory and Applications, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yamashita, N., Taji, K., Fukushima, M.
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A hybrid method without extrapolation step for solving variational inequality problems

Journal of Global Optimization, 2015
In this paper, we introduce a new method for solving variational inequality problems with monotone and Lipschitz-continuous mapping in Hilbert space. The iterative process is based on well-known projection method and the hybrid (or outer approximation ...
Yura Malitsky, V. Semenov
semanticscholar   +1 more source

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