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;

A few simple implementations for my Numerical Analysis classes.

NUMERICAL METHODS solutions

Simpson's 1/3 Rule

Join me in discovering innovative solutions for mathematical challenges. From optimization to simulations, let's journey through the realm of algorithms together.

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.

Esse código tem como objetivo aproximar o valor de uma integral definida, utilizando a regra de Simpson 1/3

🔢 Laboratory #8 for Number Methods. Integral calculation using Rectangle, Trapezoid and Simpson methods. Theoretical error estimation.

Project 1 for Numerical Analysis course.

Computing integral with 2 methods: Monte-Carlo's method and Simpson's method

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.

Metode integrasi numerik Simpson 3/8 memberikan aproksimasi integral yang lebih akurat daripada metode Simpson 1/3 karena menggunakan polinomial orde tinggi dalam pendekatannya.