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The bleeding edge: In-memory processing is a fascinating concept for a new computer architecture that can compute operations within the system's memory. While hardware accommodating this type of ...
ABSTRACT: This paper presents an analysis of the power flow within the Northern Interconnected Grid of Cameroon. The Newton-Raphson method has been performed, known for its accuracy, under MATLAB ...
This repository contains a Python implementation of the Gauss-Seidel Elimination method for solving systems of linear equations. The code reads coefficients from an ...
Abstract: All over the world, several methods of power flow analysis are used, namely Gauss-Seidel, Newton Raphson, Fast Decoupled Load Flow methods because power flow analysis is a critical factor ...
ABSTRACT: 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 Sl instead of (S + Sm) and ...
Abstract: Gauss - Seidel method is commonly used in solving general linear equations, and there are several known results about the convergence of it. In this paper, the necessary and sufficient ...
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