Finite-Difference Time-Domain Method with NumPy and Matplotlib
Implementation of the FDTD algorithm using NumPy for numerical computations and Matplotlib for visualization. The code includes a 1D and 2D example.
Implementation of the FDTD algorithm using NumPy for numerical computations and Matplotlib for visualization. The code includes a 1D and 2D example.
This article presents a Python implementation of the FDTD algorithm using NumPy and Matplotlib for simulating electromagnetic wave propagation in 1D and 2D spaces.
Example code demonstrating the use of NumPy for implementing the FDTD algorithm. The code includes comments explaining each step of the process.
Tutorial on using Matplotlib to visualize the results of FDTD simulations. The tutorial includes example code and explanations of various visualization techniques.
Article explaining the FDTD algorithm and its implementation using Python and NumPy. The article includes example code and explanations of the numerical methods used.
Online course material covering the implementation of the FDTD algorithm using Python and Matplotlib. The course includes video lectures, example code, and assignments.
Lecture notes from a course on numerical methods for FDTD simulations. The notes cover the implementation of the FDTD algorithm using NumPy and Matplotlib.
Research paper on optimizing FDTD simulations using NumPy and Matplotlib. The paper presents techniques for improving the performance of FDTD simulations.