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首页> 外文期刊>SIAM Journal on Matrix Analysis and Applications >A GRAPH BASED APPROACH TO THE CONVERGENCE OF ONELEVEL SCHWARZ ITERATIONS FOR SINGULAR M-MATRICESAND MARKOV CHAINS
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A GRAPH BASED APPROACH TO THE CONVERGENCE OF ONELEVEL SCHWARZ ITERATIONS FOR SINGULAR M-MATRICESAND MARKOV CHAINS

机译:基于图的奇异M-矩阵和马尔可夫链的Schwarz迭代收敛的方法

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摘要

We study the convergence of additive and multiplicative Schwarz iterations applied tosingular M-matrices and Markov chains. We do our investigations in order to solve consistent linearsystems or to calculate a probability distribution vector of a Markov chain. It turns out that for acertain set of equations we are able to prove convergence for both methods with a reliable degree offreedom concerning the overlap. These new convergence theorems are based on a graph theoreticalapproach and represent the main results of this paper. Other applications of the introduced theoryare also discussed.
机译:我们研究了应用于奇异M矩阵和Markov链的加性和乘性Schwarz迭代的收敛性。我们进行研究以求解一致的线性系统或计算马尔可夫链的概率分布向量。事实证明,对于某些方程组,我们能够证明两种方法的收敛性,并且它们的重叠自由度可靠。这些新的收敛定理基于图论方法,代表了本文的主要结果。还讨论了引入理论的其他应用。

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