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Mathematical Modelling and Nonstandard Schemes for the Corona Virus Pandemic
Mathematical Modelling and Nonstandard Schemes for the Corona Virus Pandemic
Knygos.lt klubas Knygos.lt nariams
128,85 €
-15%
Įprastai
151,59 €
  • Išsiųsime per 12–18 d.d.
This book deals with the prediction of possible future scenarios concerning the COVID-19 pandemic. Based on the well-known SIR model by Kermack and McKendrick a compartment model is established. This model comprises its own assumptions, transition rates and transmission dynamics, as well as a corresponding system of ordinary differential equations. Making use of numerical methods and a nonstandard-finite-difference scheme, two submodels are implemented in Matlab in order to make parameter estim…
  • Leidėjas:
  • Metai: 2021
  • Puslapiai: 268
  • ISBN-10: 3658359315
  • ISBN-13: 9783658359317
  • Formatas: 14.8 x 21 x 1.6 cm, minkšti viršeliai
  • Kalba: Anglų

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This book deals with the prediction of possible future scenarios concerning the COVID-19 pandemic. Based on the well-known SIR model by Kermack and McKendrick a compartment model is established. This model comprises its own assumptions, transition rates and transmission dynamics, as well as a corresponding system of ordinary differential equations. Making use of numerical methods and a nonstandard-finite-difference scheme, two submodels are implemented in Matlab in order to make parameter estimations and compare different scenarios with each other.

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  • Autorius: Sarah Marie Treibert
  • Leidėjas:
  • Metai: 2021
  • Puslapiai: 268
  • ISBN-10: 3658359315
  • ISBN-13: 9783658359317
  • Formatas: 14.8 x 21 x 1.6 cm, minkšti viršeliai
  • Kalba: Anglų

This book deals with the prediction of possible future scenarios concerning the COVID-19 pandemic. Based on the well-known SIR model by Kermack and McKendrick a compartment model is established. This model comprises its own assumptions, transition rates and transmission dynamics, as well as a corresponding system of ordinary differential equations. Making use of numerical methods and a nonstandard-finite-difference scheme, two submodels are implemented in Matlab in order to make parameter estimations and compare different scenarios with each other.

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