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Numerical optimization of parameters in systems of differential equations

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10474600" target="_blank" >RIV/00216208:11320/23:10474600 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.21136/panm.2022.12" target="_blank" >https://doi.org/10.21136/panm.2022.12</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.21136/panm.2022.12" target="_blank" >10.21136/panm.2022.12</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Numerical optimization of parameters in systems of differential equations

  • Original language description

    We present results on the estimation of unknown parameters in systems of ordinary differential equations in order to fit the output of models to real data. The numerical method is based on the nonlinear least squares problem along with the solution of sensitivity equations corresponding to the differential equations. We will present the performance of the method on the problem of fitting the output of basic compartmental epidemic models to data from the Covid-19 epidemic. This allows us to draw several conclusions on the natural limitations of these models and their validity.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10102 - Applied mathematics

Result continuities

  • Project

    <a href="/en/project/GA20-01074S" target="_blank" >GA20-01074S: Adaptive methods for the numerical solution of partial differential equations: analysis, error estimates and iterative solvers</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Programs and Algorithms of Numerical Mathematics 21

  • ISBN

    978-80-85823-73-8

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    123-132

  • Publisher name

    ACAD SCIENCES CZECH REPUBLIC, INST MATHEMATICS

  • Place of publication

    PRAHA 1

  • Event location

    Jablonec nad Nisou

  • Event date

    Jun 19, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article