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Parallel algorithms for variational inequalities over the Cartesian product of the intersections of the fixed point sets of nonexpansive mappings

机译:非膨胀映射不动点集的相交的笛卡尔积上的变分不等式的并行算法

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This paper presents a framework of iterative algorithms for the variational inequality problem over the Cartesian product of the intersections of the fixed point sets of nonexpansive mappings in real Hilbert spaces. Strong convergence theorems are established under a certain contraction assumption with respect to the weighted maximun norm. The proposed framework produces as a simplest example the hybrid steepest descent method, which has been developed for solving the monotone variational inequality problem over the intersection of the fixed point sets of nonexpansive mappings. An application to a generalized power control problem and numerical examples are demonstrated. (C) 2008 Elsevier Inc. All rights reserved.
机译:本文为实希尔伯特空间中非膨胀映射不动点集的交点的笛卡尔积提供了变分不等式问题的迭代算法框架。在一定的压缩假设下,关于加权极大值模,建立了强收敛定理。提出的框架以最简单的示例形式产生了混合最速下降法,该方法已经开发用于解决非膨胀映射的不动点集的交点上的单调变分不等式问题。演示了在广义功率控制问题中的应用和数值示例。 (C)2008 Elsevier Inc.保留所有权利。

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