Repository for the Software and Computing for Applied Physics course at the Alma Mater Studiorum - Università di Bologna
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Updated
Jul 19, 2024 - Python
Repository for the Software and Computing for Applied Physics course at the Alma Mater Studiorum - Università di Bologna
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
C code to perform numerical solution of the 1D Diffusion equation using Crank-Nicolson differencing
Solving problems from the course on the basics of computational physics
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.
Explicit and Implicit Solutions of the Heat Equation as part of COMP36212: Mathematical Systems and Computation
Crank-Nicolson discretization of a system of Fisher-KPP-like PDEs modeling a 2D medical torus.
重叠型Schwarz算法利用Crank-Nicolson格式解Fisher-kpp方程
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
Using Finite Element and Finite Difference Methods to Price European Options
Beam propagation method (BPM) for photonic integrated circuits (PIC), implemented in MATLAB with finite-differences in 2D. Includes slab waveguide mode-solver.
Finite Difference algorithms for Partial Differential Equation written in python (Based on Smith book)
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.
Solving the time dependent Schrödinger equation using the Crank-Nicolson method
Simulation of a space shuttle tile using 2D partial differential equation solvers
This repositary contains the MATLAB implementation of main numerical methods like Newton-Raphson, Simpson's integration and numerical ODE solver.
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