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Numerical Models of Diffusion Processes Based on Fractional Order Derivatives
Lviv Polytechnic National University, Ukraine.
Linnaeus University, Faculty of Technology, Department of Informatics. (Informatics)ORCID iD: 0000-0001-7048-8089
2020 (English)In: Proceedings of 2020 IEEE 15th International Scientific and Technical Conference on Computer Sciences and Information Technologies, CSIT 2020, IEEE, 2020, Vol. 1, p. 233-236, article id 9321885Conference paper, Published paper (Refereed)
Abstract [en]

In the paper is considered the mathematical model of the diffusion process on the basis of the differential diffusion-advection equation with fractional order derivatives in temporal and spatial coordinates. Differences schemes for approximation of mathematical model of diffusion process with fractal structure are presented and algorithms for their realization are created. It is analysed the relationship between the density functions of the fractionally stable distributions and the solutions of the fractional equation of the diffusion process over time. Discrete random walk models based on difference algorithms are presented. On the basis of the developed software, trajectories of random walks are analysed, depending on different values of fractional derivatives.

Place, publisher, year, edition, pages
IEEE, 2020. Vol. 1, p. 233-236, article id 9321885
National Category
Information Systems
Research subject
Computer and Information Sciences Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-102268DOI: 10.1109/CSIT49958.2020.9321885Scopus ID: 2-s2.0-85100507212ISBN: 9781728174433 (print)OAI: oai:DiVA.org:lnu-102268DiVA, id: diva2:1544727
Conference
International Computer Sciences and Information Technologies (CSIT), 23-26 September, 2020, Lviv-Zbarazh, Ukraine
Available from: 2021-04-16 Created: 2021-04-16 Last updated: 2021-05-06Bibliographically approved

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Campos, Jaime

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • de-DE
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  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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