Abstract: The Gauss-Seidel method is very efficient for solving problems such as tightly-coupled constraints with possible redundancies. However, the underlying algorithm is inherently sequential.
This repository contains a Python implementation of the Gauss-Seidel Elimination method for solving systems of linear equations. The code reads coefficients from an Excel file (`data.xls`), performs ...
Nanjing Power Supply Company, State Grid Jiangsu Electric Power Co., Ltd., Nanjing, China As the scale of the power grid expands and distributed energy sources are integrated, along with the emergence ...
New Hampshire polls started to close at 7:00 p.m. ET Tuesday night, with some remaining open until 8:00 p.m. ET. Trump gave Fox News an exclusive behind-the-scenes look inside campaign plane in New ...
Abstract: Modern GPUs are more efficient than CPUs due to their highly parallel structure. The Gauss-Seidel algorithm is a method for solving the n linear equations of the form Ax=b, which uses ...
This repository contains a Python implementation of the Gauss-Seidel Elimination method for solving systems of linear equations. The code reads coefficients from an Excel file (`data.xls`), performs ...
ABSTRACT: In this paper, we present parallel implementation of the Gauss-Seidel (GS) iterative algorithm for the solution of linear systems of equations on a k-ary n-cube parallel machine using Open ...
In recent years, a number of preconditioners have been applied to solve the linear systems with Gauss-Seidel method (see [1-7,10-12,14-16]). In this paper we use S l instead of (S + S m) and compare ...
We study overrelaxation algorithms for the thermalization of lattice field theories with multiquadratic and more general actions. Overrelaxation algorithms are one-parameter generalizations of the ...