Numerical solution of a new mathematical model for intravenous drug administration
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F24%3AA250387B" target="_blank" >RIV/61988987:17610/24:A250387B - isvavai.cz</a>
Alternative codes found
RIV/61988987:17610/23:A240252X
Result on the web
<a href="https://link.springer.com/10.1007/s12065-023-00840-4" target="_blank" >https://link.springer.com/10.1007/s12065-023-00840-4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s12065-023-00840-4" target="_blank" >10.1007/s12065-023-00840-4</a>
Alternative languages
Result language
angličtina
Original language name
Numerical solution of a new mathematical model for intravenous drug administration
Original language description
We develop and analyze a new mathematical model for intravenous drug administration and the associated diffusion process. We use interval analysis to obtain a system of weakly singular Volterra integral equations over ordinary functions. We then use the operational method based on Chebyshev polynomials for obtaining an approximate solution of the numerical form. We show that for a certain class of fuzzy number valued functions, their generalized Hukuhara derivatives can be reduced to the derivatives of ordinary real-valued functions. By using our approach, we are able to estimate numerical solutions very accurately.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10102 - Applied mathematics
Result continuities
Project
<a href="/en/project/GA18-06915S" target="_blank" >GA18-06915S: New approaches to aggregation operators in analysis and processing of data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
EVOLUTIONARY INTELLIGENCE
ISSN
1864-5909
e-ISSN
1864-5917
Volume of the periodical
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Issue of the periodical within the volume
1
Country of publishing house
DE - GERMANY
Number of pages
17
Pages from-to
559-575
UT code for WoS article
000963148400001
EID of the result in the Scopus database
2-s2.0-85151503822