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Dimensional study of COVID-19 via fractal functions
The present paper deals with the modeling of the COVID-19 via fractal interpolation function (FIF) and the estimation of the dimension of constructed FIF. Further, we determine the adjoint of the fractal operator defined on [Formula: see text] space associated with the FIF.
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9930014/ https://www.ncbi.nlm.nih.gov/pubmed/36816509 http://dx.doi.org/10.1140/epjs/s11734-023-00774-z |
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author | Agrawal, Ekta Verma, Saurabh |
author_facet | Agrawal, Ekta Verma, Saurabh |
author_sort | Agrawal, Ekta |
collection | PubMed |
description | The present paper deals with the modeling of the COVID-19 via fractal interpolation function (FIF) and the estimation of the dimension of constructed FIF. Further, we determine the adjoint of the fractal operator defined on [Formula: see text] space associated with the FIF. |
format | Online Article Text |
id | pubmed-9930014 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-99300142023-02-15 Dimensional study of COVID-19 via fractal functions Agrawal, Ekta Verma, Saurabh Eur Phys J Spec Top Regular Article The present paper deals with the modeling of the COVID-19 via fractal interpolation function (FIF) and the estimation of the dimension of constructed FIF. Further, we determine the adjoint of the fractal operator defined on [Formula: see text] space associated with the FIF. Springer Berlin Heidelberg 2023-02-15 /pmc/articles/PMC9930014/ /pubmed/36816509 http://dx.doi.org/10.1140/epjs/s11734-023-00774-z Text en © The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Regular Article Agrawal, Ekta Verma, Saurabh Dimensional study of COVID-19 via fractal functions |
title | Dimensional study of COVID-19 via fractal functions |
title_full | Dimensional study of COVID-19 via fractal functions |
title_fullStr | Dimensional study of COVID-19 via fractal functions |
title_full_unstemmed | Dimensional study of COVID-19 via fractal functions |
title_short | Dimensional study of COVID-19 via fractal functions |
title_sort | dimensional study of covid-19 via fractal functions |
topic | Regular Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9930014/ https://www.ncbi.nlm.nih.gov/pubmed/36816509 http://dx.doi.org/10.1140/epjs/s11734-023-00774-z |
work_keys_str_mv | AT agrawalekta dimensionalstudyofcovid19viafractalfunctions AT vermasaurabh dimensionalstudyofcovid19viafractalfunctions |