Finite-Difference Time-Domain Method in 2D
The FDTD method is a numerical analysis technique used for modeling computational electrodynamics. This example demonstrates a 2D implementation in Python using NumPy.
The FDTD method is a numerical analysis technique used for modeling computational electrodynamics. This example demonstrates a 2D implementation in Python using NumPy.
This research paper presents an efficient FDTD method for simulating electromagnetic waves in 2D. The implementation is done in Python and utilizes the NumPy library for efficient computations.
A Python implementation of the 2D FDTD method for simulating electromagnetic waves. This repository includes example code and documentation for the simulation.
This online course covers numerical methods for electromagnetics, including the FDTD method. The course includes a 2D implementation in Python as part of the coursework.
This publication presents an implementation of the FDTD method in Python for simulating electromagnetic waves in 2D. The code is available for download and includes example usage.
This article presents an efficient implementation of the 2D FDTD method in Python. The implementation utilizes the NumPy library for efficient computations and includes example code.
This course notes page includes an example implementation of the 2D FDTD method in Python for simulating electromagnetic waves. The code is available for download and includes documentation.
This journal article presents a study on FDTD simulations in 2D using Python. The implementation utilizes the NumPy library and includes example code and results.