| Autor: |
J. A. Mandujano Valle, A. Loureiro Madureira |
| Jazyk: |
English<br />Portuguese |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Trends in Computational and Applied Mathematics, Vol 25, Iss 1 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2676-0029 |
| DOI: |
10.5540/tcam.2024.025.e01805 |
| Popis: |
We investigate the problem of determining time dependent parameters for discrete-time epidemiological compartmental models such as the Susceptible-Infected-Recovered (SIR). We show how to determine parameters based on minimal error type iterative schemes. Such methods involve the computation of the adjoint of the derivative operator of a nonlinear function. This is a nontrivial task that we accomplish by carefully crafting auxiliary problems. To show the efficiency of the method, we consider examples involving real COVID-19 data. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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