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Two-Stage Multisplitting Iteration Methods Using Modulus-Based Matrix Splitting as Inner Iteration for Linear Complementarity Problems

机译:线性互补问题的基于模数的矩阵分裂作为内部迭代的两阶段多分裂迭代方法

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摘要

The matrix multisplitting iteration method is an effective tool for solving large sparse linear complementarity problems. However, at each iteration step we have to solve a sequence of linear complementarity sub-problems exactly. In this paper, we present a two-stage multisplitting iteration method, in which the modulusbased matrix splitting iteration and its relaxed variants are employed as inner iterations to solve the linear complementarity sub-problems approximately. The convergence theorems of these two-stage multisplitting iteration methods are established. Numerical experiments show that the two-stage multisplitting relaxation methods are superior to the matrix multisplitting iteration methods in computing time, and can achieve a satisfactory parallel efficiency.
机译:矩阵多重分裂迭代法是解决大型稀疏线性互补问题的有效工具。但是,在每个迭代步骤中,我们必须精确地解决一系列线性互补子问题。在本文中,我们提出了一种两阶段的多分裂迭代方法,其中基于模的矩阵分裂迭代及其松弛变体被用作内部迭代,以近似地解决线性互补子问题。建立了两阶段多分裂迭代方法的收敛定理。数值实验表明,两步多重分裂松弛方法在计算时间上优于矩阵多重分裂迭代方法,可以达到令人满意的并行效率。

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