Comments (2)
Thank you for your interest! It's been a while since I've been here, so I've just uploaded the preprint to arxiv. It should be available in 24 hours.
I don't currently have the arxiv identifier, but you can try searching it in 24 hours with:
differint: A Python Package for Numerical Fractional Calculus
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Sorry for the delay. The article is up on the Arxiv. You can cite using:
@misc{adams2019differint,
title={differint: A Python Package for Numerical Fractional Calculus},
author={Matthew Adams},
year={2019},
eprint={1912.05303},
archivePrefix={arXiv},
primaryClass={cs.MS}
}
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Related Issues (8)
- How to carry out a fractional derivative for 2 d data source HOT 1
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- How to use this for fractional derivatives at a point? HOT 10
- Is differint is applicable to neural network? HOT 1
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