This is a Numerical Analysis course project, implementing numerical analysis methods.
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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 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.
A few simple implementations for my Numerical Analysis classes.
NUMERICAL METHODS solutions
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
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.
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