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
刊名:Computational Mathematics and Mathematical Physics
出版年:2017
出版时间:January 2017
年:2017
卷:57
期:1
页码:1-6
全文大小:
刊物类别:Mathematics and Statistics
刊物主题:Computational Mathematics and Numerical Analysis;
出版者:Pleiades Publishing
ISSN:1555-6662
卷排序:57
文摘
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 2n2 additions and (12)n2 divisions. Numerical results for random matrices of order 100 are presented that confirm the proposed improvement.