The finite-difference time-domain (FDTD) method is a numerical analysis technique used for modeling computational electrodynamics. Python code examples are available.
A Python implementation of the FDTD algorithm for simulating electromagnetic waves. The code includes examples and documentation for users.
Course notes and assignments for a graduate-level course on numerical methods for electromagnetics, including the FDTD algorithm. Python code is provided for some assignments.
A video tutorial on implementing the FDTD algorithm in Python for simulating electromagnetic waves. The video includes code examples and explanations.
A Python package for simulating electromagnetic waves using the FDTD algorithm. The package includes documentation and examples for users.
A research paper on the FDTD method for electromagnetic simulation, including a discussion of the algorithm and its implementation in Python.
An online course on introduction to FDTD simulations, including lectures and assignments on implementing the FDTD algorithm in Python.
A tutorial on the FDTD algorithm, including a step-by-step guide to implementing the algorithm in Python. The tutorial includes code examples and explanations.