Convergence of the GAOR Method for One Subclass of H -Matrix
Guangbin Wang, Ting Wang
Abstract
Open-access reader
Guangbin Wang, Ting Wang
Abstract
Open-access reader
We discuss the convergence of the GAOR method to solve linear system which occurred in solving the weighted linear least squares problem. Moreover, we present one convergence theorem of the GAOR method when the coefficient matrix is a strictly doublyαdiagonally dominant matrix which is a nonsingular H -matrix. Finally, we show that our results are better than previous ones by using four numerical examples.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
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.
We discuss the convergence of the GAOR method to solve linear system which occurred in solving the weighted linear least squares problem. Moreover, we present one convergence theorem of the GAOR method when the coefficient matrix is a strictly doublyαdiagonally dominant matrix which is a nonsingular H -matrix. Finally, we show that our results are better than previous ones by using four numerical examples.
Key concepts: Invertible matrix, Convergence (economics), Algorithm, Mathematics, Matrix (chemical analysis), Applied mathematics, Pure mathematics, Chemistry