Generalized Refinement of Gauss-Seidel Method for Consistently Ordered 2-Cyclic Matrices
Gashaye Dessalew, Tesfaye Kebede, Gurju Awgichew, Assaye Walelign
Abstract
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Gashaye Dessalew, Tesfaye Kebede, Gurju Awgichew, Assaye Walelign
Abstract
Open-access reader
This paper presents generalized refinement of Gauss-Seidel method of solving system of linear equations by considering consistently ordered 2-cyclic matrices. Consistently ordered 2-cyclic matrices are obtained while finite difference method is applied to solve differential equation. Suitable theorems are introduced to verify the convergence of this proposed method. To observe the effectiveness of this method, few numerical examples are given. The study points out that, using the generalized refinement of Gauss-Seidel method, we obtain a solution of a problem with a minimum number of iteration and obtain a greater rate of convergence than other previous methods.
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This paper presents generalized refinement of Gauss-Seidel method of solving system of linear equations by considering consistently ordered 2-cyclic matrices. Consistently ordered 2-cyclic matrices are obtained while finite difference method is applied to solve differential equation. Suitable theorems are introduced to verify the convergence of this proposed method. To observe the effectiveness of this method, few numerical examples are given. The study points out that, using the generalized refinement of Gauss-Seidel method, we obtain a solution of a problem with a minimum number of iteration and obtain a greater rate of convergence than other previous methods.
Key concepts: Gauss–Seidel method, Mathematics, Convergence (economics), Applied mathematics, Rate of convergence, Gauss, Iterative method, Mathematical optimization