A Python implementation of the Finite-Difference Time-Domain (FDTD) algorithm using Matplotlib for visualization. Includes example code and explanations.
This article presents a method for visualizing electromagnetic waves using the FDTD algorithm and Matplotlib. The code is provided as a supplementary material.
A step-by-step tutorial on using Matplotlib to visualize FDTD simulations in Python. Covers topics such as creating 2D and 3D plots, customizing plot appearance, and animating simulations.
A video tutorial on simulating and visualizing FDTD algorithms using Python and Matplotlib. Covers topics such as setting up the simulation, visualizing the results, and customizing the plot.
A Python package for simulating FDTD algorithms with built-in support for Matplotlib visualization. Includes documentation and example usage.
A Wikipedia article on the Finite-Difference Time-Domain (FDTD) method, including its applications, advantages, and limitations. Provides links to external resources and references.
A course lecture on using Matplotlib for scientific visualization, including examples of visualizing FDTD simulations. Provides links to additional resources and lecture notes.
A Q&A thread on implementing the FDTD algorithm in Python using Matplotlib for visualization. Includes example code and discussions on optimization and performance.