Function estimation and regularization in the SIRD model applied to the COVID-19 pandemics
| Autor: | C. R. de Lacerda, César C. Pacheco |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Estimation
2019-20 coronavirus outbreak Coronavirus disease 2019 (COVID-19) Computer science Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Applied Mathematics General Engineering 010103 numerical & computational mathematics Function (mathematics) 01 natural sciences Regularization (mathematics) Computer Science Applications 010101 applied mathematics Tikhonov regularization Applied mathematics 0101 mathematics |
| Zdroj: | Inverse Problems in Science and Engineering |
| ISSN: | 1741-5985 1741-5977 |
| DOI: | 10.1080/17415977.2021.1872563 |
| Popis: | This paper deals with the quantification of the different rates in epidemiological models from a function estimation framework, with the objective of identifying the desired unknowns without defini... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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