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Error Bound and Convergence Analysis of Matrix Splitting Algorithms for theAffine Variational Inequality Problem

机译:混合变分不等式问题矩阵分裂算法的误差界和收敛性分析

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摘要

Consider the affine variational inequality problem. It is shown that the distanceto the solution set from a feasible point near the solution set can be bounded by the norm of a natural residual at that point. This bound is then used to prove linear convergence of a matrix splitting algorithm for solving the symmetric case of the problem. This latter result improves upon a recent result of Luo and Tseng that further assumes the problem to be monotone. Affine variational inequality, linear complemtarity, error bound, matrix splitting, linear convergence.

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