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首页> 外文期刊>Journal of Computational and Applied Mathematics >Application of the Cramer rule in the solution of sparse systems of linear algebraic equations
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Application of the Cramer rule in the solution of sparse systems of linear algebraic equations

机译:Cramer规则在线性代数方程组稀疏系统解中的应用

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摘要

In this work, the solution of a sparse system of linear algebraic equations is obtained by using the Cramer rule. The determinants are computed with the help of the numerical structure approach defined in Suchkov (Graphs of Gearing Machines, Leningrad, Quebec, 1983) in which only the non-zero elements are used. Cramer rule produces the solution directly without creating fill-in problem encountered in other direct methods. Moreover, the solution can be expressed exactly if all the entries, including the right-hand side, are integers and if all products do not exceed the size of the largest integer that can be represented in the arithmetic of the computer used. The usefulness of Suchkov numerical structure approach is shown by applying on seven examples. Obtained results are also compared with digraph approach described in Mittal and Kurdi (J. Comput. Math., to appear). It is shown that the performance of the numerical structure approach is better than that of digraph approach.
机译:在这项工作中,通过使用Cramer规则获得了线性代数方程组稀疏系统的解。行列式是在Suchkov(齿轮机的图形,列宁格勒,魁北克,1983年)中定义的数值结构方法的帮助下进行的,其中仅使用非零元素。 Cramer规则可直接生成解决方案,而不会产生其他直接方法遇到的填充问题。此外,如果所有条目(包括右侧)都是整数,并且所有乘积不超过所用计算机的算术运算中可以表示的最大整数的大小,则可以精确地表示该解决方案。通过应用七个示例,证明了Suchkov数值结构方法的有效性。还将获得的结果与Mittal和Kurdi中所述的有向图方法(J. Comput。Math。,出现)进行比较。结果表明,数值结构方法的性能优于有向图方法。

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