This is a Numerical Analysis course project, implementing numerical analysis methods.
-
Updated
Aug 5, 2023 - MATLAB
This is a Numerical Analysis course project, implementing numerical analysis methods.
This is a Numerical Analysis course project, implementing numerical analysis methods.
Numerical Analysis Problems and Solutions
Projet en C++ | Réalisation d'un moteur de résolution d'EDO et illustration de la théorie du contrôle linéaire
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;
This repository contains Java implementations for solving integrals using four different numerical methods: Rectangle, Trapezoid, Simpson, and Monte Carlo. Each method offers a unique approach to approximating the area under a curve, providing a comprehensive toolkit for numerical integration.
this is a repo for all the Numerical Methods laboratory works I coded as a part of my educational process at LP NU IoT 2nd course.
NUMERICAL METHODS solutions
A few simple implementations for my Numerical Analysis classes.
Esse código tem como objetivo aproximar o valor de uma integral definida, utilizando a regra de Simpson 1/3
Join me in discovering innovative solutions for mathematical challenges. From optimization to simulations, let's journey through the realm of algorithms together.
Project 1 for Numerical Analysis course.
Computing integral with 2 methods: Monte-Carlo's method and Simpson's method
🔢 Laboratory #8 for Number Methods. Integral calculation using Rectangle, Trapezoid and Simpson methods. Theoretical error estimation.
numerical integration using Simpson's Rule
This repository contains a Python implementation of Simpson’s 3/8 Rule for numerical integration. The code computes the integral of the function \( F(x) = x^2 + 5x - 9 \) over a specified interval using Simpson's 3/8 Rule.
Aplicación de escritorio hecha con Python para resolver metodos numericos como Punto fijo, Newton Pahpson, Simpson 1/3 y 3/8, Lagrange.
Add a description, image, and links to the simpson-method topic page so that developers can more easily learn about it.
To associate your repository with the simpson-method topic, visit your repo's landing page and select "manage topics."