FDTD Method

Finite-difference time-domain (FDTD) is a numerical analysis technique used for modeling computational electrodynamics.

This repository contains a C++ project with the main implementation of the method. The following python script is used for testing and visualization:

• PlotScript/visualization.py

Install packages

pip install pandas
pip install matplotlib

Build the project with CMake

cd sln
cmake .
cmake --build . --config RELEASE

Run and visualize

Go to folder

cd PlotScript

To run the method and save the data

• Linux (gcc):

  python3 visualization.py --run_cpp --grid_size <grid size> --iters_num <iterations number> <component>
  

• Windows (MSVC):

  python visualization.py --run_cpp --grid_size <grid size> --iters_num <iterations number> <component>
  

To create an animation

• Linux (gcc):

  python3 visualization.py --function animation <component for analysis>
  

• Windows (MSVC):

  python visualization.py --function animation <component for analysis>
  

The result will be saved to a folder PlotScript/animations

To create a heatmap

• Linux (gcc):

  python3 visualization.py --function heatmap --iteration <iteration number> <component>
  

• Windows (MSVC):

  python visualization.py --function heatmap --iteration <iteration number> <component>
  

The result will be saved to a folder PlotScript/heatmap