Finite-Difference Time-Domain Method
The finite-difference time-domain (FDTD) method is a numerical analysis technique used for modeling computational electrodynamics. Python code implementations are available.
The finite-difference time-domain (FDTD) method is a numerical analysis technique used for modeling computational electrodynamics. Python code implementations are available.
A Python package for simulating the FDTD method. It includes examples and documentation for implementing the FDTD method in various scenarios.
Course notes and resources for a graduate-level course on numerical methods for electromagnetics, including the FDTD method, with Python code examples.
A Python package for simulating the FDTD method. It can be installed via pip and includes documentation and examples.
A research article on the FDTD method for electromagnetic simulations, including a Python code implementation.
A video tutorial on the FDTD method, including a Python code example and explanation of the underlying mathematics.
A tutorial on simulating the FDTD method using Python and NumPy, including code examples and explanations.
An open-source FDTD simulator with a Python interface, including documentation and examples.