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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 Gauss-Seidel iteration with relaxation, and saves the results in a new Excel file. The method also includes error checking and verifies the results.
Collection of university assignments, in which we explore various techniques and algorithms to inspect numerical stability, precision, convergence, and performance for large matrices.
This repository has simulation codes for Electrical Power Systems of different sizes and compositions. The data is shared from Electrical Systems in the United States through IEEE and simulated in MATLAB and MATPOWER.
Linear systems' resolution using Forward and Backward Substitution Algorithms, LU factorisation with and without partial pivoting, Gauss-Seidel and Jacobi Methods
MATLAB programs for solving the power-flow equations using either of methods: Gauss-Seidel (G-S), Newton-Raphson (N-R) & Fast Decoupled Load Flow (FDLF).
a program that solves linear system of equation using different methods (Gauss Elimination, Gauss Jordan, LU Decomposition, Gauss Seidel, Jacobi Iteration)