There are 0 repository under gauss-seidel topic.
Python library for optimized interpolation.
Methods in numerical analysis. Includes: Lagrange interpolation, Chebyshev polynomials for optimal node spacing, iterative techniques to solve linear systems (Gauss-Seidel, Jacobi, SOR), SVD, PCA, and more.
Numerical analysis methods implemented in Python.
Simple (and not-so-simple) CFD solvers written in Fortran with Python plotting routines
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).
Implemention of the Gauss-Seidel Iterative Method for solving systems of equations.
Projected Overrelaxed Jacobi (JORProx) and Gauss-Seidel (SORProx) GPU implementations.
In numerical analysis, a numerical method is a mathematical tool designed to solve numerical problems. The implementation of a numerical method with an appropriate convergence check in a programming language is called a numerical algorithm
A repository containing python codes for the numerical methods I studied in Numerical Analysis course during Spring 2022 semester
Solving the load flow problem using Guass-Seidel iterative method. Written in C++.
Heat Equation using different solvers (Jacobi, Red-Black, Gaussian) in C using different paradigms (sequential, OpenMP, MPI, CUDA) - Assignments for the Concurrent, Parallel and Distributed Systems course @ UPC 2013
This Module is Numerical analysis, an area of mathematics and computer science that creates, analyzes, and implements algorithms for obtaining numerical solutions to problems involving continuous variables. Such problems arise throughout the natural sciences, social sciences, engineering, medicine, and business.
Solver for Power Flow Problem :zap:
One-dimensional Transient Heat Conduction in a semi-infinite Domain
Implentation of Back Substitution, Conjugate Gradient and Gauss Seidel using OpenMP parallelization
Parallel computing: Jacobi and Gauss-Seidel implementation with OpenMP and MPI
Numerical methods algorithms developed in MATLAB
A mathematic implementation in c++
Implementation for different numerical algorithms
MAL114 - Linear Algebra MATLAB Codes: QR decomposition and eigenvalues, Gauss-Jacobi, Gauss-Jordan, Gauss-Seidel, Graham-Schmidt, Jacobi Eigenvalues, Projection, Successive over Relaxation, System of Equations.
CODE FOR ALL MODULES OF NUMERICAL METHODS
Fortran/Python linear algebra utilities
A MATLAB implementation of a 2D particle physics simulation based on solving MLCP problem using Projected Gauss-Seidel method.
Linear Equations solver project done using Matlab, uses different method to solve the equations as Gauss Elimination, Gauss Jordan, LU Decomposition, Gauss Seidel, and Jacobi Iterative Method
Implementations of various Algorithms used in Numerical Analysis, from root-finding up to gradient descent and numerically solving PDEs.
Numerical methods algorithms implementation
This repositary contains the MATLAB implementation of main numerical methods like Newton-Raphson, Simpson's integration and numerical ODE solver.
Implementation of several numerical algorithms
数值分析简要算法实现
A web app solving Poisson's equation in electrostatics using finite difference methods for discretization, followed by gauss-seidel methods for solving the equations. Dirichlet conditions and charge density can be set.
Numerical Analysis course repository.
[Ongoing] This repository contains algorithms used in a power system analysis
This contains three programs written in python. Gauss-Seidel and Successive Over Relaxation to solve system of equations and Steepest-Descent to minimize a function of 2 or 3 variables.
A simple investigation into various CFD methods (like SF-Vorticity approach, primitive variable FDM, FVM etc.) by using the Lid-Driven Cavity problem as an example