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Mathematics of Epidemics on Networks : From Exact to Approximate Models / István Z. Kiss, Joel C. Miller, Péter L. Simon
| Mathematics of Epidemics on Networks : From Exact to Approximate Models / István Z. Kiss, Joel C. Miller, Péter L. Simon |
| Autore | Kiss, István Z. |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xviii, 413 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Miller, Joel C.
Simon, Péter L. |
| Soggetto topico |
47-XX - Operator theory [MSC 2020]
35-XX - Partial differential equations [MSC 2020] 37-XX - Dynamical systems and ergodic theory [MSC 2020] 60-XX - Probability theory and stochastic processes [MSC 2020] 34-XX - Ordinary differential equations [MSC 2020] 00-XX - General and overarching topics; collections [MSC 2020] |
| Soggetto non controllato |
Dynamic Processes
Dynamic/adaptive network Edge based compartmental model Epidemics Mathematical modeling Mean field models Non-Markovian epidemics Pairwise models Percolation theory Propagation Models Stochastic processes |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123430 |
Kiss, István Z.
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| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Mathematics of Epidemics on Networks : From Exact to Approximate Models / István Z. Kiss, Joel C. Miller, Péter L. Simon
| Mathematics of Epidemics on Networks : From Exact to Approximate Models / István Z. Kiss, Joel C. Miller, Péter L. Simon |
| Autore | Kiss, István Z. |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xviii, 413 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Miller, Joel C.
Simon, Péter L. |
| Soggetto topico |
00-XX - General and overarching topics; collections [MSC 2020]
34-XX - Ordinary differential equations [MSC 2020] 35-XX - Partial differential equations [MSC 2020] 37-XX - Dynamical systems and ergodic theory [MSC 2020] 47-XX - Operator theory [MSC 2020] 60-XX - Probability theory and stochastic processes [MSC 2020] |
| Soggetto non controllato |
Dynamic Processes
Dynamic/adaptive network Edge based compartmental model Epidemics Mathematical modeling Mean field models Non-Markovian epidemics Pairwise models Percolation theory Propagation Models Stochastic processes |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00123430 |
|
Kiss, István Z.
|
||
| Cham, : Springer, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Trends in Biomathematics: Modeling Cells, Flows, Epidemics, and the Environment : Selected Works from the BIOMAT Consortium Lectures, Szeged, Hungary, 2019 / Rubem P. Mondaini editor
| Trends in Biomathematics: Modeling Cells, Flows, Epidemics, and the Environment : Selected Works from the BIOMAT Consortium Lectures, Szeged, Hungary, 2019 / Rubem P. Mondaini editor |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | x, 425 p. : ill. ; 24 cm |
| Soggetto topico |
35-XX - Partial differential equations [MSC 2020]
92-XX - Biology and other natural sciences [MSC 2020] 34-XX - Ordinary differential equations [MSC 2020] 92B20 - Neural networks for/in biological studies, artificial life and related topics [MSC 2020] 92Bxx - Mathematical biology in general [MSC 2020] |
| Soggetto non controllato |
Biomathematics
Delay differential equation Delay linear chains Diffusion-reaction model Edge based compartmental model Epidemic models Evolutionary adaptation Ordinary differential equations Partial differential equations Prey-predator model Time-frequency analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0250000 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Trends in Biomathematics: Modeling Cells, Flows, Epidemics, and the Environment : Selected Works from the BIOMAT Consortium Lectures, Szeged, Hungary, 2019 / Rubem P. Mondaini editor
| Trends in Biomathematics: Modeling Cells, Flows, Epidemics, and the Environment : Selected Works from the BIOMAT Consortium Lectures, Szeged, Hungary, 2019 / Rubem P. Mondaini editor |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | x, 425 p. : ill. ; 24 cm |
| Soggetto topico |
34-XX - Ordinary differential equations [MSC 2020]
35-XX - Partial differential equations [MSC 2020] 92-XX - Biology and other natural sciences [MSC 2020] 92B20 - Neural networks for/in biological studies, artificial life and related topics [MSC 2020] 92Bxx - Mathematical biology in general [MSC 2020] |
| Soggetto non controllato |
Biomathematics
Delay differential equation Delay linear chains Diffusion-reaction model Edge based compartmental model Epidemic models Evolutionary adaptation Ordinary differential equations Partial differential equations Prey-predator model Time-frequency analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00250000 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||