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首页> 外文期刊>Computational mathematics and mathematical physics >Improving an estimate of the convergence rate of the seidel method by selecting the optimal order of equations in the system of linear algebraic equations
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Improving an estimate of the convergence rate of the seidel method by selecting the optimal order of equations in the system of linear algebraic equations

机译:通过选择线性代数方程中的方程的最佳顺序来改善Seidel方法的收敛速度

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摘要

The Seidel method for solving a system of linear algebraic equations and an estimate of its convergence rate are considered. It is proposed to change the order of equations. It is shown that the method described in Faddeevs' book Computational Methods of Linear Algebra can deteriorate the convergence rate estimate rather than improve it. An algorithm for establishing the optimal order of equations is proposed, and its validity is proved. It is shown that the computational complexity of the reordering is 2n (2) additions and (12)n (2) divisions. Numerical results for random matrices of order 100 are presented that confirm the proposed improvement.
机译:考虑了用于求解线性代数方程系统的Seidel方法和其收敛速率的估计。 建议改变方程的顺序。 结果表明,在线性代数的CADEEVS书籍计算方法中描述的方法可以恶化收敛速率估计而不是改善它。 提出了一种用于建立方程式最佳顺序的算法,证明了其有效性。 结果表明,该重新排序的计算复杂性是2N(2)添加和(12)N(2)划分。 介绍了订单100的随机矩阵的数值结果,以确认所提出的改进。

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