Results 31 to 40 of about 948 (198)
A Self‐Adaptive Extragradient Algorithm for Solving Quasimonotone Variational Inequalities
This article aims to research iterative schemes for searching a solution of a quasimonotone variational inequality in a Hilbert space. For solving this quasimonotone variational inequality, we propose an iterative procedure which combines a self‐adaptive rule and the extragradient algorithm.
Li-Jun Zhu +2 more
wiley +1 more source
In this paper, we study a modified extragradient method for computing a common solution to the split equilibrium problem and fixed point problem of a nonexpansive semigroup in real Hilbert spaces.
Yasir Arfat +5 more
doaj +1 more source
For the purpose of this article, we introduce a modified form of a generalized system of variational inclusions, called the generalized system of modified variational inclusion problems (GSMVIP).
Araya Kheawborisut, Atid Kangtunyakarn
doaj +1 more source
A new weak convergence non-monotonic self-adaptive iterative scheme for solving equilibrium problems
A number of methods have been proposed to solve the equilibrium problems, one of which is an extragradient method that is particularly interesting and effective.
Habib ur Rehman +3 more
doaj +1 more source
In this paper, we consider a generalized mixed variational‐like inequality problem and prove a Minty‐type lemma for its related auxiliary problems in a real Banach space. We prove the existence of a solution of these auxiliary problems and also prove some properties for the solution set of generalized mixed variational‐like inequality problem ...
Saud Fahad Aldosary +4 more
wiley +1 more source
In this paper, we study the strong convergence of an algorithm to solve the variational inequality problem which extends a recent paper (Thong et al., Numerical Algorithms. 78, 1045‐1060 (2018)). We reduce and refine some of their algorithm conditions and we prove the convergence of the algorithm in the presence of some computational errors.
Mostafa Ghadampour +4 more
wiley +1 more source
Decentralized Stochastic Variance Reduced Extragradient Method
This paper studies decentralized convex-concave minimax optimization problems of the form $\min_x\max_y f(x,y) \triangleq\frac{1}{m}\sum_{i=1}^m f_i(x,y)$, where $m$ is the number of agents and each local function can be written as $f_i(x,y)=\frac{1}{n}\sum_{j=1}^n f_{i,j}(x,y)$.
Luo, Luo, Ye, Haishan
openaire +2 more sources
We introduce Mann-type extragradient methods for a general system of variational inequalities with solutions of a multivalued variational inclusion and common fixed points of a countable family of nonexpansive mappings in real smooth Banach spaces.
Lu-Chuan Ceng +2 more
doaj +1 more source
In a real Hilbert space, let the CFPP, VIP, and HFPP denote the common fixed-point problem of countable nonexpansive operators and asymptotically nonexpansive operator, variational inequality problem, and hierarchical fixed point problem, respectively ...
Yun-Ling Cui +6 more
doaj +1 more source
We suggest and analyze relaxed extragradient iterative algorithms with regularization for finding a common element of the solution set of a general system of variational inequalities, the solution set of a split feasibility problem, and the fixed point ...
L. C. Ceng, A. Petruşel, J. C. Yao
doaj +1 more source

