Finite Difference Time Domain Method for 2D Wave Equation
The FDTD method is a numerical analysis technique used to solve partial differential equations, including the 2D wave equation. This article provides a Python implementation using NumPy.
The FDTD method is a numerical analysis technique used to solve partial differential equations, including the 2D wave equation. This article provides a Python implementation using NumPy.
This GitHub repository provides a Python code for solving the 2D wave equation using the FDTD method. The code is well-documented and includes examples.
This lecture note from Stanford University discusses the finite difference method for solving the wave equation, including the FDTD method. It provides a detailed mathematical derivation and implementation in Python.
This video demonstrates how to simulate 2D wave propagation using the FDTD method in Python. It provides a step-by-step guide and visualization of the wave propagation.
This research paper presents a Python implementation of the FDTD method for solving the 2D wave equation. It discusses the numerical stability and accuracy of the method.
This article discusses the implementation of absorbing boundaries in the FDTD method for solving the 2D wave equation. It provides a Python code snippet for the implementation.
This Python package provides a solver for the 2D wave equation using the FDTD method. It can be installed using pip and provides a simple interface for solving the equation.
This course note from North Carolina State University discusses the numerical solution of the 2D wave equation using the FDTD method. It provides a detailed explanation of the method and its implementation in Python.