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

C++11 implementation of numerical algorithms described in Numerical Analysis by Richard L. Burden and J. Douglas Faires

Numerical analysis algorithms

Implementation of several numerical algorithms

NUMERICAL METHODS solutions

My lecture notes and codes on Numerical Analysis

a collection of numerical methods written in python language.

Learn Newton and Lagrange polynomial interpolation in Python with divided differences, Chebyshev nodes, plots, and error comparison.

We, a team of students, recently completed a series of projects as part of our numerical analysis course. These projects involved the application of various numerical methods to solve mathematical problems and analyze the results. Through these projects, we gained a deeper understanding of the concepts covered in the course and honed our skills in

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

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

Air quality prediction using Interpolation (Lagrange, Newton's Divided Difference, Cubic Spline) for Polynomials

Implements some Numerical Methods

Source codes of numerical analysis algorithms

R Shiny app for Divided Difference and Newton Interpolation