Implementation of well-known numerical methods.

Implicit representation of various things using PyTorch and high order layers

A repository containing python codes for the numerical methods I studied in Numerical Analysis course during Spring 2022 semester

Tensorflow layers using piecewise Lagrange polynomials and Fourier series.

Program that estimates the Gini coefficient of a country using Lagrange Interpolation for Lorenz curve approximation.

1D Finite Element Method Galerkin code.

Numerical analysis algorithms

Pure-Python implementation of Lagrange interpolation over finite fields.

Numerical Lab Assignment and Lab practice codes are here.

Trabalhos para a disciplina de Cálculo Numérico, feitos em Python

a collection of numerical methods written in python language.

Algoritmo que interpola funções polinomiais pelo método de Lagrange.

A cryptographic hash function based on the Lagrange Polynomial.

Interactive Lagrange Polynomial Generator in Python

Diversos Algoritmos úteis para a disciplina de métodos numéricos / cálculo numérico.

This repository contains a Python implementation of the Lagrange Interpolation method for estimating the value of a function at a given interpolating point based on a set of data points. The code reads the data points from an Excel file (`datai.xls`), performs the Lagrange interpolation, and plots the results.

Lagrangian interpolation developed with python

Aplicación de escritorio hecha con Python para resolver metodos numericos como Punto fijo, Newton Pahpson, Simpson 1/3 y 3/8, Lagrange.

Approximator is a basic Python program that approximates the y value according to given data (x and y values) with respect to x. Approximator uses Direct Method of Polynomial Interpolation, Lagrange Polynomial Interpolation, and Newton's Divided Difference Polynomial Interpolation.

This repository contains Python programs for "The Fundamentals of Numerical Analysis" course at Shahrekord University.