Computational modeling of the COVID-19 disease: numerical ODE analysis with R programming
"The book is intended for readers who are interested in learning about the use of computer-based modelling of the COVID-19 disease. It provides a basic introduction to a five-ordinary differential equation (ODE) model by providing a complete statement of the model, including a detailed discussi...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Singapore
World Scientific
[2020]
|
| Subjects: | |
| Online Access: | FUBA2 UBM01 UBR01 Volltext |
| Summary: | "The book is intended for readers who are interested in learning about the use of computer-based modelling of the COVID-19 disease. It provides a basic introduction to a five-ordinary differential equation (ODE) model by providing a complete statement of the model, including a detailed discussion of the ODEs, initial conditions and parameters, followed by a line-by-line explanation of a set of R routines (R is a quality, scientific programming system readily available from the Internet). The reader can access and execute these routines without having to first study numerical algorithms and computer coding (programming) and can perform numerical experimentation with the model on modest computers"--Publisher's website |
| Physical Description: | 1 Online-Ressource (viii, 100 Seiten) |
| ISBN: | 9789811222887 9811222886 |
| DOI: | 10.1142/11899 |
Staff View
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Record in the Search Index
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| discipline | Informatik Mathematik Medizin |
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| id | DE-604.BV047124405 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:30:25Z |
| indexdate | 2024-07-10T09:03:18Z |
| institution | BVB |
| isbn | 9789811222887 9811222886 |
| language | English |
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| publisher | World Scientific |
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| spelling | Schiesser, William E. 1934- Verfasser (DE-588)136985866 aut Computational modeling of the COVID-19 disease numerical ODE analysis with R programming by William E. Schiesser Singapore World Scientific [2020] 1 Online-Ressource (viii, 100 Seiten) txt rdacontent c rdamedia cr rdacarrier "The book is intended for readers who are interested in learning about the use of computer-based modelling of the COVID-19 disease. It provides a basic introduction to a five-ordinary differential equation (ODE) model by providing a complete statement of the model, including a detailed discussion of the ODEs, initial conditions and parameters, followed by a line-by-line explanation of a set of R routines (R is a quality, scientific programming system readily available from the Internet). The reader can access and execute these routines without having to first study numerical algorithms and computer coding (programming) and can perform numerical experimentation with the model on modest computers"--Publisher's website COVID-19 (Disease) / Mathematical models Coronavirus infections / Mathematical models Numerical analysis / Data processing https://doi.org/10.1142/11899 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Schiesser, William E. 1934- Computational modeling of the COVID-19 disease numerical ODE analysis with R programming COVID-19 (Disease) / Mathematical models Coronavirus infections / Mathematical models Numerical analysis / Data processing |
| title | Computational modeling of the COVID-19 disease numerical ODE analysis with R programming |
| title_auth | Computational modeling of the COVID-19 disease numerical ODE analysis with R programming |
| title_exact_search | Computational modeling of the COVID-19 disease numerical ODE analysis with R programming |
| title_exact_search_txtP | Computational modeling of the COVID-19 disease numerical ODE analysis with R programming |
| title_full | Computational modeling of the COVID-19 disease numerical ODE analysis with R programming by William E. Schiesser |
| title_fullStr | Computational modeling of the COVID-19 disease numerical ODE analysis with R programming by William E. Schiesser |
| title_full_unstemmed | Computational modeling of the COVID-19 disease numerical ODE analysis with R programming by William E. Schiesser |
| title_short | Computational modeling of the COVID-19 disease |
| title_sort | computational modeling of the covid 19 disease numerical ode analysis with r programming |
| title_sub | numerical ODE analysis with R programming |
| topic | COVID-19 (Disease) / Mathematical models Coronavirus infections / Mathematical models Numerical analysis / Data processing |
| topic_facet | COVID-19 (Disease) / Mathematical models Coronavirus infections / Mathematical models Numerical analysis / Data processing |
| url | https://doi.org/10.1142/11899 |
| work_keys_str_mv | AT schiesserwilliame computationalmodelingofthecovid19diseasenumericalodeanalysiswithrprogramming |