The finite-difference time-domain (FDTD) method is a numerical analysis technique used for modeling computational electrodynamics. Python implementation examples are available.
A Python package for simulating the FDTD algorithm. It includes example code for 1D, 2D, and 3D simulations.
Course notes on numerical methods for electromagnetics, including the FDTD algorithm. Python code examples are provided for each topic.
A tutorial on implementing the FDTD algorithm in Python, including example code and explanations of the underlying mathematics.
A Python package for simulating the FDTD algorithm. It can be installed via pip and includes example code for getting started.
A research paper on the FDTD method for electromagnetic simulations. It includes Python code examples and comparisons with other numerical methods.
A video tutorial on the FDTD algorithm, including example code in Python and explanations of the underlying mathematics.
Example code for implementing the FDTD algorithm in Python, including 1D and 2D simulations. Provided by the North Carolina State University.