Solving problems from the course on the basics of computational physics

Numerical quantum Hamilton-Jacobi equations of motion solver for simulating quantum trajectories with recurrent neural networks.

A Python solver for the 1D heat equation using the Crank-Nicolson method. Repository for the Software and Computing for Applied Physics course at the Alma Mater Studiorum - Università di Bologna

Crank-Nicolson discretization of a system of Fisher-KPP-like PDEs modeling a 2D medical torus.

Solution of the heat/diffusion and time-dependent Schrodinger equations with Crank-Nicolson and Euler methods

NUMERICAL METHODS LABORATORY (MA29202) / NUMERICAL TECHNIQUES LABORATORY (MA39110) - IIT KGP

This repository contains Python 3 scripts for simulating the passage of a 2D Gaussian wave packet through a double slit. For this, the 2D Schrödinger equation is solved using the Crank-Nicolson numerical method.

Crank-Nicolson method for the heat equation in 2D

I used the Cranck-Nicholson Algorithm to demonstrate the time evolution of a Gaussian wave by Schrödinger's Picture in Quantum Mechanics. The system is a 1-D box with a positive potential well.

Implementation of well-known numerical methods.

Crank-Nicholson solver for a 1-D heat transfer model.

Fast American option pricing using spectral collocation method based on integral form. An independent Crank Nicolson method is included for comparison.

Python implementation of 1D Time-dependent Schroedinger Equation solver to study the adiabaticity of any 1D system.

A python script that displays an animation of an electron propagation and its interaction with arbitrary potential. The program solves the two-dimensional time-dependant Schrödinger equation using Crank-Nicolson algorithm.

Differents algorithms on python or matlab about numerical analysis - UNI

Une simulation de l'évolution d'un paquet d'onde gaussien