numpy implementation of 2d wave equation using fdtd

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researchgate.net research

Numerical Solution of 2D Wave Equation using FDTD Method with NumPy

This code implements the 2D wave equation using the Finite Difference Time Domain (FDTD) method in Python with NumPy, providing a simple and efficient way to simulate wave propagation.

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github.io tool

2D Wave Equation Solver using FDTD and NumPy

A Python implementation of the 2D wave equation using the FDTD method, utilizing NumPy for efficient numerical computations and Matplotlib for visualization.

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math.umd.edu article

Finite Difference Time Domain Method for 2D Wave Equation

This article discusses the FDTD method for solving the 2D wave equation, including its implementation in Python using NumPy, and provides examples of its application in various fields.

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stackoverflow.com article

NumPy Implementation of 2D Wave Equation using FDTD Method

A Q&A thread discussing the implementation of the 2D wave equation using the FDTD method in Python with NumPy, including example code and explanations.

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scipy-lectures.org article

Solving the 2D Wave Equation using FDTD and Python

This lecture note provides an introduction to solving the 2D wave equation using the FDTD method in Python, utilizing NumPy and SciPy for efficient numerical computations.

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youtube.com video

2D Wave Equation Simulation using FDTD Method and NumPy

A video tutorial demonstrating how to simulate the 2D wave equation using the FDTD method in Python with NumPy, including code explanations and visualization.

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arxiv.org research

FDTD Method for 2D Wave Equation: A NumPy Implementation

A research paper presenting a NumPy implementation of the FDTD method for solving the 2D wave equation, including discussions on numerical stability and accuracy.

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numpy.org official

Python Implementation of 2D Wave Equation using FDTD Method

An official NumPy example demonstrating how to implement the 2D wave equation using the FDTD method in Python, highlighting the library's capabilities for efficient numerical computations.