This repository implements some numerical methods commonly used in scientific computing, focusing on:

• Cholesky decomposition: Efficiently solves positive definite systems of linear equations.
• Lagrange interpolation: Approximates functions using their values at specified points.
• Derivative estimation: Calculates numerical derivatives using central and forward difference methods.

Repository Contents:

• cholesky.py : Implements the Cholesky decomposition algorithm.
• LagrangeInterplotion.py : Implements the Lagrange interpolation method.
• derivative.py : Implements central and forward differences methods for derivative estimation.