WEAK CONVERGENCE OF THE OPERATOR EXTRAPOLATION METHOD FOR VARIATIONAL INEQUALITIES IN UNIFORMLY CONVEX BANACH SPACES

S. Denisov, V. Semenov, O. Kharkov
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Abstract

This work is devoted to the study of new iterative algorithms for solving variational inequalities in uniformly convex Banach spaces. The first algorithm is a modification of the forward-reflectedbackward algorithm, which uses the Alber generalized projection instead of the metric one. The second algorithm is an adaptive version of the first one, where the monotone step size update rule is used, which does not require knowledge of Lipschitz constants and linear search procedure.
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一致凸巴拿赫空间变分不等式算子外推法的弱收敛性
这项工作致力于研究新的迭代算法求解一致凸巴拿赫空间中的变分不等式。第一种算法是对前向反射后向算法的改进,使用Alber广义投影代替度量投影。第二种算法是第一种算法的自适应版本,其中使用单调步长更新规则,不需要Lipschitz常数和线性搜索过程的知识。
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