fractional diffusion

Version 1.0 (135 KB) by Gaurav Gupta

Identification of arguments of fractional diffusion

https://github.com/gaurav71531/fractDiffusion

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Updated 28 May 2020

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1. Generate simulated fractional diffusion trajectories
2. Estimate parameters of the fractional diffusion process from the data

Cite As

Znaidi, Mohamed Ridha, et al. “Identifying Arguments of Space-Time Fractional Diffusion: Data-Driven Approach.” Frontiers in Applied Mathematics and Statistics, vol. 6, Frontiers Media SA, May 2020, doi:10.3389/fams.2020.00014.

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MATLAB Release Compatibility

Created with R2018b

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Version	Published	Release Notes
1.0	28 May 2020		Download

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MLA	Znaidi, Mohamed Ridha, et al. “Identifying Arguments of Space-Time Fractional Diffusion: Data-Driven Approach.” Frontiers in Applied Mathematics and Statistics, vol. 6, Frontiers Media SA, May 2020, doi:10.3389/fams.2020.00014.
APA	Znaidi, M. R., Gupta, G., Asgari, K., & Bogdan, P. (2020). Identifying Arguments of Space-Time Fractional Diffusion: Data-Driven Approach. Frontiers in Applied Mathematics and Statistics, 6. Frontiers Media SA. Retrieved from https://doi.org/10.3389%2Ffams.2020.00014
BibTeX	@article{Znaidi_2020, doi = {10.3389/fams.2020.00014}, url = {https://doi.org/10.3389%2Ffams.2020.00014}, year = 2020, month = {may}, publisher = {Frontiers Media {SA}}, volume = {6}, author = {Mohamed Ridha Znaidi and Gaurav Gupta and Kamiar Asgari and Paul Bogdan}, title = {Identifying Arguments of Space-Time Fractional Diffusion: Data-Driven Approach}, journal = {Frontiers in Applied Mathematics and Statistics} }