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A Numerical Evaluation of Sparse Direct Solvers for the Solution of Large Sparse Symmetric Linear Systems of Equations

机译:大型稀疏对称线性方程组解的稀疏直接解法的数值评估

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In recent years a number of solvers for the direct solution of large sparse symmetric linear systems of equations have been developed. These include solvers that are designed for the solution of positive definite systems as well as those that are principally intended for solving indefinite problems. In this study, we use performance profiles as a tool for evaluating and comparing the performance of serial sparse direct solvers on an extensive set of symmetric test problems taken from a range of practical applications.rnCategories and Subject Descriptors: G.1.0 [Numerical Analysis]: General—Numerical algorithms; G.1.3 [Numerical Analysis]: Numerical Linear Algebra—Sparse, structured, and very large systems (direct and iterative methods)rnGeneral Terms: Algorithms, PerformancernAdditional Key Words and Phrases: Sparse matrices, symmetric linear systems, Gaussian elimination, direct solvers, software.
机译:近年来,已经开发出许多用于求解大型稀疏对称线性方程组的求解器。其中包括为解决正定系统而设计的求解器,以及主要用于解决不确定问题的求解器。在这项研究中,我们使用性能概况作为评估和比较串行稀疏直接求解器在一系列来自实际应用的对称测试问题上的性能的工具。类别和主题描述符:G.1.0 [数值分析] :常规—数值算法; G.1.3 [数值分析]:数值线性代数-稀疏,结构化和非常大的系统(直接和迭代方法)通用术语:算法,性能附加关键字和短语:稀疏矩阵,对称线性系统,高斯消去,直接求解器,软件。

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