A fast poisson image editing implementation that can utilize multi-core CPU or GPU to handle a high-resolution image input.

Implémentation en python de l'algorithme de Jacobi en Python

Python implementations of core numerical methods covered in the CSE-2106 course, with detailed explanations, worked examples, and iteration-by-iteration output for each algorithm.

This is currently a Fluid Simulation made as a hobby project. This was mostly done by myself but the math for solving the Navier Stokes Equations came from Nividia GPU Gems since I am not educated enough for these subjects.

No description provided.

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

Algorithms of computational math: Legendre polynomial; Gauss method; Cholesky method; Method of Squares; Newton interpolation; Inverse Gauss method; Interpolation by cubic splines; Gauss Zeidel method; Jacobi method; Eigenvalues; Euler method; Left/Right rectangle method; Simpson method; The method of dividing a segment in half; Newton's method;

Study & Performance Analysis on MPI and OpenMp program, solving Poisson Equation with Jacobi Method

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.

Parallel implementation of Jacobi method using the higher-order functions Map and Reduce

a collection of numerical methods written in python language.

Numerical Linear Algebra

Serial and Parallel numerical methods for solving partial differential equations using finite differences with OpenMP. Implementation of the serial and parallel Jacobi and Gauss-Seidel methods for solving linear systems. Implementation of the Additive Schwarz and Restricted Additive Schwarz methods for domain decomposition.

Repository with some scripts developed in the subject Numerical Linear Algebra.

Numerical methods for solving systems of linear equations

This project contains the implementation of four iterative methods for the resolution of sparse linear matrices, with the aim of analyzing the resources necessary for computation based on the input matrix

Parallel implementation of Jacobi method using the higher-order functions Map

C code bisection, gauss seidel, incremental search, jacobi Method , LU Decomposition, Newton_Raphson, Power Method, QR_Decomposition, regula_falsi Method, Simpson and Trapezoidal Integration

Python code for Numerical Analysis algorithms

Implementation of several numerical computing methods with Python /// by theMHD.

Python code that solves the eigensystem associated with Hermitan matrices. Demonstrated by finding the the first few eigenvalues and the corresponding eigenvectors of the aharmonic oscillator Hamiltonian.

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

Reference implementations of classic iterative SLAE solvers

J-Jacobi method with accurate complex Jacobi rotations

Masterarbeit

Implementation of the Jacobi method for determining the solutions of a strictly diagonally dominant system of linear equations in native Fortran (Fortran 90)

Laboratory assignments on parallel programming at NSU.

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

Métodos numéricos con python(Numpy, matplotlib, pandas)