Implementation of Gauss-Seidel method used to solve a linear system of equations
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Updated
Jul 24, 2020 - C
Implementation of Gauss-Seidel method used to solve a linear system of equations
Numerical solution to the Convection-Diffusion Equations in Fluid Mechanics. Application to solve a diagonal flow and to solve the Smith-Hutton problem.
This repository is for saving reports and code for num methods course in SPbPU, 2021-2022
SOLVE SYSTEMS OF LINEAR EQUATIONS BY GAUSS - SEIDEL METHOD USING PYTHON.
a program that solves linear system of equation using different methods (Gauss Elimination, Gauss Jordan, LU Decomposition, Gauss Seidel, Jacobi Iteration)
Implementation of numerical methods to find solutions of systems of linear equations and find points in a curve given by a set of equations.
MATLAB® scripts for analyzing electrical current in resistive circuits using the Gauss-Seidel method
implementation of some basic numerical method and problem using C language, Course Math-304
Numerical solution to the incompressible Navier-Stokes Equations using the Fractional Step Method. Application to solve the 2D Driven-Cavity problem.
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).
Iterative Graph Filtering Network for 3D Human Pose Estimation
This is a Git repository containing code for a numerical analysis lab using Fortran and MATLAB
Numerical solver for system of PDEs modelling radiative transfer
Numerical methods for solving systems of linear equations
Linear systems' resolution using Forward and Backward Substitution Algorithms, LU factorisation with and without partial pivoting, Gauss-Seidel and Jacobi Methods
Parallel and serial implementation of the PageRank algorithm using the Gauss-Seidel method, featuring OpenMP parallelization
Numerical Linear Algebra
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.
Relatórios escritos em Python, no ambiente Google Colab, para a disciplina de Cálculo Numérico Computacional
Collection of university assignments, in which we explore various techniques and algorithms to inspect numerical stability, precision, convergence, and performance for large matrices.
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