线性方程组的拓扑分解优化解算法

H. Yui, S. Nishimura
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引用次数: 0

摘要

许多直接求解大型线性方程组的技术已经发展起来。其中一些被广泛使用并用于线性方程组的非稀疏系统:LU分解和Cholesky分解。另一方面,对于稀疏矩阵,有不同类型的算法,它们将线性方程组分解为该系统的多个子集。然而,在过去没有讨论算法分解一个大的线性方程组。在本文中,我们提出了一种有效的分解算法来优化总运营成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Topological decomposition algorithm for optimized solution of a system of linear equations
A number of techniques for the direct solution of large systems of linear equations have been developed. Some of them are widely known and used for non-sparse systems of linear equations: LU decomposition and Cholesky decomposition. On the other hand, for sparse matrices, there are different types of algorithms, which decompose a system of linear equations into a number of subsets of the system. However, in the past there is no discussion for algorithms to decompose a large system of linear equations. In this article, we propose an efficient decomposition algorithm to optimize total operation costs using graph theory.
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