The finite-difference time-domain (FDTD) method is a numerical analysis technique used for modeling computational electrodynamics. Python implementation using Matplotlib is provided.
Implementation of the FDTD algorithm in Python, utilizing Matplotlib for visualization of the electromagnetic fields. The code is well-documented and includes example use cases.
This paper presents a numerical solution of Maxwell's equations using the FDTD method, implemented in Python with visualization using Matplotlib. The results are compared with analytical solutions.
A community-driven Q&A forum discussing the implementation of the FDTD algorithm in Python, including example code snippets and advice on using Matplotlib for visualization.
An official IEEE publication discussing the FDTD method for electromagnetic simulation, including a Python implementation using Matplotlib. The article provides a comprehensive overview of the technique.
The official Matplotlib documentation provides an example of how to visualize FDTD simulations using Python, including 2D and 3D plots of electromagnetic fields.
A video tutorial on implementing the FDTD algorithm in Python, including a step-by-step guide on using Matplotlib for visualization of the simulation results.
An online course on computational electromagnetics, including a module on the FDTD method, with Python implementation and visualization using Matplotlib. The course is taught by university professors.