Finite Difference Time Domain Method for 2D Wave Equation
The FDTD method is a numerical analysis technique used for solving partial differential equations. Here's an example of how to implement it in NumPy for the 2D wave equation.
The FDTD method is a numerical analysis technique used for solving partial differential equations. Here's an example of how to implement it in NumPy for the 2D wave equation.
This GitHub repository provides a Python implementation of the FDTD method for solving the 2D wave equation using NumPy. It includes example code and visualizations.
This article presents a numerical solution of the 2D wave equation using the FDTD method. It discusses the implementation details and provides a comparison with analytical solutions.
This preprint discusses the implementation of absorbing boundaries in the FDTD method for solving the 2D wave equation. It provides a detailed analysis of the numerical results.
This Stack Overflow question provides an example of Python code using the FDTD method to solve the 2D wave equation. It includes explanations and discussions from the community.
This course notes from MIT discuss finite difference methods for solving wave equations, including the FDTD method. It provides a detailed introduction to the topic.
This online course covers numerical methods for solving wave equations, including the FDTD method. It provides video lectures and assignments.
This IEEE article presents a simulation of 2D wave propagation using the FDTD method. It discusses the implementation details and provides a comparison with experimental results.