The finite-difference time-domain (FDTD) method is a numerical analysis technique used for modeling computational electrodynamics. Python implementation can be found in various libraries.
A Python implementation of the FDTD algorithm for simulating electromagnetic waves. The code includes examples and documentation for easy understanding.
This paper presents a Python implementation of the FDTD algorithm for simulating electromagnetic waves. The implementation is validated with numerical examples.
A video tutorial on implementing the FDTD algorithm in Python. The video covers the basics of the FDTD method and provides a step-by-step guide to implementation.
Meep is a free and open-source software package for simulating electromagnetic systems using the FDTD method. It has a Python interface for easy use.
A course notes on the FDTD method for electromagnetic simulation. The notes include a Python implementation of the FDTD algorithm.
PyFDTD is a Python library for simulating electromagnetic systems using the FDTD method. It provides an easy-to-use interface for defining simulations and visualizing results.
A course on numerical methods for electromagnetics, including the FDTD algorithm. The course includes a Python implementation of the FDTD method.