Study on the Convergence of Solving Linear Equations by Gauss-Seidel and Jacobi Method
Hongxia Liu, Tianxiang Feng
Abstract
Hongxia Liu, Tianxiang Feng
Abstract
First, the convergence conditions of Gauss - Seidel method and Jacobi method are shown. And then the iterative times of the two methods are discussed and the formula of estimate iterative times is obtained. Finally, a numerical example is calculated by the two methods and the results show the actual iterative times and the estimate iterative times are basically equal.
OpenAlex reports 4 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.
First, the convergence conditions of Gauss - Seidel method and Jacobi method are shown. And then the iterative times of the two methods are discussed and the formula of estimate iterative times is obtained. Finally, a numerical example is calculated by the two methods and the results show the actual iterative times and the estimate iterative times are basically equal.
Key concepts: Gauss–Seidel method, Iterative method, Convergence (economics), Jacobi method, Applied mathematics, Local convergence, Mathematics, Successive over-relaxation