This is a Git repository containing code for a numerical analysis lab using Fortran and MATLAB

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

Numerical solution to the incompressible Navier-Stokes Equations using the Fractional Step Method. Application to solve the 2D Driven-Cavity problem.

This repository is for saving reports and code for num methods course in SPbPU, 2021-2022

Implementation of numerical methods to find solutions of systems of linear equations and find points in a curve given by a set of equations.

Collection of university assignments, in which we explore various techniques and algorithms to inspect numerical stability, precision, convergence, and performance for large matrices.

Numerical Linear Algebra

SOLVE SYSTEMS OF LINEAR EQUATIONS BY GAUSS - SEIDEL METHOD USING PYTHON.

MATLAB simulations for load flow studies using various algorithms in power systems.

Numerical solver for system of PDEs modelling radiative transfer

MATLAB® scripts for analyzing electrical current in resistive circuits using the Gauss-Seidel method

Implementation of Gauss-Seidel method used to solve a linear system of equations

Including work from undergrad and graduate numerical analysis I and II.

A Python-based solver for systems of three quadratic equations using the Gauss-Seidel Iteration Method. Generates detailed, step-by-step solutions for better understanding. Perfect for students and professionals alike!

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 methods for solving systems of linear 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 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.