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).

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

Iterative Graph Filtering Network for 3D Human Pose Estimation

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 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.

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

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

Numerical Linear Algebra

Numerical solution to the Convection-Diffusion Equations in Fluid Mechanics. Application to solve a diagonal flow and to solve the Smith-Hutton problem.

Numerical solver for system of PDEs modelling radiative transfer

RISC-V assembly implementations of classic numerical linear algebra iterative solvers using RARS

Linear systems' resolution using Forward and Backward Substitution Algorithms, LU factorisation with and without partial pivoting, Gauss-Seidel and Jacobi Methods

Software which uses OpenMP to parallelise the three classic Algebraic Iterative Methods: Jacobi, Gauss-Seidel & Successive Over Relaxation, for solving Systems of the form Ax = b

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!

Numerical methods for solving systems of linear equations

Relatórios escritos em Python, no ambiente Google Colab, para a disciplina de Cálculo Numérico Computacional