An Effective Preconditioned AOR Iterative Method
Han Hai-shan
Abstract
Han Hai-shan
Abstract
A new preconditioned matrix is proposed and the convergence of the new preconditioned AOR iterative method is discussed.The new comparison theorem between the new preconditioned AOR method and the classical AOR iterative method is wade.Numerical examples show the effectiveness of the new method.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
A new preconditioned matrix is proposed and the convergence of the new preconditioned AOR iterative method is discussed.The new comparison theorem between the new preconditioned AOR method and the classical AOR iterative method is wade.Numerical examples show the effectiveness of the new method.
Key concepts: Iterative method, Convergence (economics), Applied mathematics, Mathematics, Mathematical optimization, Matrix (chemical analysis), Computer science, Algorithm