Finite-Difference Time-Domain Method
The Finite-Difference Time-Domain (FDTD) method is a numerical analysis technique used for modeling computational electrodynamics. Python code examples are provided.
The Finite-Difference Time-Domain (FDTD) method is a numerical analysis technique used for modeling computational electrodynamics. Python code examples are provided.
A Python implementation of the FDTD method for simulating electromagnetic waves. The code is well-documented and includes examples.
Course notes and assignments from MIT's course on numerical methods for electromagnetics, including the FDTD method. Python code is used for implementation.
A research paper on the FDTD method for electromagnetic simulation, including a Python implementation. The paper discusses the method's accuracy and efficiency.
A Python package for simulating electromagnetic waves using the FDTD method. The package is easy to use and includes documentation and examples.
A video tutorial on the FDTD method, including a Python implementation. The tutorial covers the basics of the method and how to use it for simulation.
A course on numerical analysis of electromagnetic waves, including the FDTD method. Python code is used for implementation, and assignments are available online.
A commercial software package for simulating electromagnetic waves using the FDTD method. A free trial is available, and Python API is included.