This paper presents a numerical implementation of the Finite-Difference Time-Domain (FDTD) algorithm using NumPy for simulating electromagnetic wave propagation. The FDTD method is a popular numerical technique for solving Maxwell's equations.
A Python implementation of the FDTD algorithm using NumPy for simulating electromagnetic wave propagation in one, two, and three dimensions. The code is well-documented and includes examples.
This online course covers the fundamentals of electromagnetic wave propagation and the FDTD method. It includes a section on implementing the FDTD algorithm using NumPy for numerical simulations.
This article presents a NumPy-based implementation of the FDTD algorithm for simulating electromagnetic wave propagation in inhomogeneous media. The algorithm is validated using numerical examples.
A video tutorial on implementing the FDTD algorithm in Python using NumPy for simulating electromagnetic wave propagation. The video covers the basics of the FDTD method and provides a step-by-step guide to the implementation.
This preprint presents a numerical solution of Maxwell's equations using the FDTD method and NumPy. The solution is validated using numerical examples and compared with analytical solutions.
A project report on simulating electromagnetic wave propagation using the FDTD method and NumPy. The report includes a detailed description of the implementation and results.
An official NumPy example demonstrating the implementation of the FDTD algorithm for simulating electromagnetic wave propagation. The example includes a detailed description of the code and usage.