The Finite-Difference Time-Domain (FDTD) method is a numerical analysis technique used for modeling computational electrodynamics. This example demonstrates how to implement the FDTD method in Python using the NumPy library.
A Python implementation of the FDTD method using NumPy for simulating electromagnetic waves. The code includes examples of 1D and 2D simulations.
Lecture notes on the FDTD method, including its formulation, implementation, and applications. The notes also cover the use of NumPy for efficient numerical computations.
A research paper presenting a Python-based FDTD simulator that utilizes the NumPy library for efficient computations. The simulator is applied to various electromagnetic problems.
A tutorial on implementing the FDTD method in Python using NumPy and visualizing the results with Matplotlib. The tutorial covers the basics of the FDTD method and its implementation.
An example of using the FDTD method in Python with NumPy and SciPy for solving electromagnetic problems. The example demonstrates the use of SciPy's optimization functions for improving simulation efficiency.
A conference paper presenting an electromagnetic simulation framework based on the FDTD method and implemented in Python using NumPy. The framework is applied to various electromagnetic problems.
A video tutorial on implementing the FDTD method in Python using NumPy for electromagnetic simulations. The tutorial covers the basics of the FDTD method and its implementation in Python.