Preconditioned AOR iterative method and comparison theorems
Aijuan Li
Abstract
Aijuan Li
Abstract
The AOR iterative method with preconditioned matrix(I+ S_(αβ)~*) is proposed.Comparison theorems are obtained when the coefficient matrice of the linear systems is an irreducible L- matrix.The comparison theorems show the convergence rate of AOR iterative method with the preconditioned matrix (I+ S_(αβ)~*) is faster than the convergence rate of AOR iterative method with the preconditioned matrix(I+S_α). Lastly,numerical example verifies the comparison theorems.
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.
The AOR iterative method with preconditioned matrix(I+ S_(αβ)~*) is proposed.Comparison theorems are obtained when the coefficient matrice of the linear systems is an irreducible L- matrix.The comparison theorems show the convergence rate of AOR iterative method with the preconditioned matrix (I+ S_(αβ)~*) is faster than the convergence rate of AOR iterative method with the preconditioned matrix(I+S_α). Lastly,numerical example verifies the comparison theorems.
Key concepts: Iterative method, Mathematics, Rate of convergence, Applied mathematics, Coefficient matrix, Matrix (chemical analysis), Convergence (economics), Mathematical optimization