求解线性代数方程的分布式算法的进一步讨论

Xuan Wang, S. Mou, Dengfeng Sun
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引用次数: 6

摘要

在[2]中,最近开发了一种分布式算法,用于通过多智能体网络求解线性代数方程。为了采用该算法,每个智能体只需要知道线性方程的一部分,以及它附近的邻居对解的估计。在本文中,我们将从以下两个角度进一步讨论该算法。一是提高算法的数值稳定性,同时消除[2]中需要的初始化步骤。二是当线性方程有多个解时,求一个具有最小l2范数的特解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Further discussions on a distributed algorithm for solving linear algebra equations
In [2], a distributed algorithm has recently been developed for solving linear algebraic equations via multi-agent networks. To adopt the algorithm, each agent only has to know part of the linear equation as well as its nearby neighbors' estimates to the solution. In this paper, we would like to further discuss this algorithm from the following two perspectives. The first one is to improve the numerical stability of the algorithm and meanwhile eliminate initialization step that is necessary in [2]. The second one is to achieve a specific solution with minimum l2 norm when the linear equation has more than one solutions.
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