This repository includes numerical simulation code for 1D Heat Equation, featuring both standard implementations and optimized versions using Numba. Additionally, it encompasses code for analyzing the statistical aspects of the total runtime, based on 100 trials for each experiment.
The following are the individuals involved in this project: S. H. S. Herho, S. N. Kaban, D. E. Irawan, and R. Kapid.
These data and code are released under the MIT License.
If you find these data useful, please consider citing our paper:
@article{herhoEtAl24b_1dHeat,
author={Herho, S. H. S. and Kaban, S. N. and Irawan, D. E. and Kapid, R.},
title={Efficient 1D Heat Equation Solver: Leveraging Numba in Python},
journal={xxxxx},
year={2024},
volume={x},
number={x},
pages={x - x},
doi={xx}
}
We built the numerical models and analyzed the total runtime data under the Python 3 computing environment by using the following libraries:
This work was supported by the Dean's Distinguished Fellowship at the University of California, Riverside (UCR) 2023 and ITB Research, Community Service and Innovation Program (PPMI-ITB) 2023.