There are 1 repository under crank-nicolson topic.
Une simulation de l'évolution d'un paquet d'onde gaussien
Fast American option pricing using spectral collocation method based on integral form. An independent Crank Nicolson method is included for comparison.
Finite-Difference Approximations to the Heat Equation. Implementation of schemes: Forward Time, Centered Space; Backward Time, Centered Space; Crank-Nicolson.
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.
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.
Implementation of well-known numerical methods.
Differents algorithms on python or matlab about numerical analysis - UNI
:rocket: Solve the time-dependent Schrodinger equation in unbounded domain
Crank-Nicolson method for the heat equation in 2D
Using Finite Element and Finite Difference Methods to Price European Options
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.
重叠型Schwarz算法利用Crank-Nicolson格式解Fisher-kpp方程
Heat Equation: Crank-Nicolson / Explicit Methods, designed to estimate the solution to the heat equation. Python, using 3D plotting result in matplotlib.
Solution of the heat/diffusion and time-dependent Schrodinger equations with Crank-Nicolson and Euler methods
Finite Difference algorithms for Partial Differential Equation written in python (Based on Smith book)
This repositary contains the MATLAB implementation of main numerical methods like Newton-Raphson, Simpson's integration and numerical ODE solver.
Python implementation of 1D Time-dependent Schroedinger Equation solver to study the adiabaticity of any 1D system.
Solving problems from the course on the basics of computational physics
Solve 1D Heat Equation by using Finite Difference Method and Crank Nicholson Method in MATLAB.
Final Year Project : Numerical Method for Solving Elliptic Equation by Using Difference Discretization Scheme and Comparing Basic Iterative Solution with Graphical User Interface (GUI)
Numerically solved the quantum Hamilton-Jacobi equations of motion and generated trajectories for de Broglie-Bohm theory with recurrent neural networks and the Crank-Nicolson method.
Crank-Nicholson solver for a 1-D heat transfer model.
Crank-Nicolson discretization of a system of Fisher-KPP-like PDEs modeling a 2D medical torus.
C code to perform numerical solution of the 1D Diffusion equation using Crank-Nicolson differencing
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
This is my final project of the course "Heat Transfer I" that I managed to get full GPA marks on my 2nd year of bachelor's chemical engineering program at sharif university of technology.
Explicit and Implicit Solutions of the Heat Equation as part of COMP36212: Mathematical Systems and Computation
CFD_Crank-Nicolson_heat_transfer
Solve the 1d time-dependent residual Schrödinger equation numerically
Simulation of a space shuttle tile using 2D partial differential equation solvers
NUMERICAL METHODS LABORATORY (MA29202) / NUMERICAL TECHNIQUES LABORATORY (MA39110) - IIT KGP
Solving the time dependent Schrödinger equation using the Crank-Nicolson method