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Applied Analysis of Ordinary Differential Equations
| Applied Analysis of Ordinary Differential Equations |
| Autore | Balasuriya Sanjeeva |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (62 p.) |
| Soggetto non controllato |
heteroclinic tangle
coupled system integral boundary conditions EADs transport bifurcation analysis SIR epidemic model ion current interactions green's function surface of section endemic equilibrium age structure MATCONT Ulam's stability nonlinear dynamics stability basic reproduction number |
| ISBN | 3-03921-727-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367745803321 |
Balasuriya Sanjeeva
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Mathematical tools for understanding infectious diseases dynamics [[electronic resource] /] / Odo Diekmann, Hans Heesterbeek, and Tom Britton
| Mathematical tools for understanding infectious diseases dynamics [[electronic resource] /] / Odo Diekmann, Hans Heesterbeek, and Tom Britton |
| Autore | Diekmann O |
| Edizione | [Course Book] |
| Pubbl/distr/stampa | Princeton, : Princeton University Press, 2012 |
| Descrizione fisica | 1 online resource (517 p.) |
| Disciplina | 614.4 |
| Altri autori (Persone) |
HeesterbeekHans <1960->
BrittonTom |
| Collana | Princeton series in theoretical and computational biology |
| Soggetto topico |
Epidemiology - Mathematical models
Communicable diseases - Mathematical models |
| Soggetto non controllato |
Bayesian statistical inference
ICU model Markov chain Monte Carlo method Markov chain Monte Carlo methods ReedІrost epidemic age structure asymptotic speed bacterial infections biological interpretation closed population compartmental epidemic systems consistency conditions contact duration demography dependence disease control disease outbreaks disease prevention disease transmission endemic epidemic models epidemic outbreak epidemic epidemiological models epidemiological parameters epidemiology general epidemic growth rate homogeneous community hospital infections hospital patients host population growth host human social behavior i-states individual states infected host infection transmission infection infectious disease epidemiology infectious disease infectious diseases infectious output infective agent infectivity intensive care units intrinsic growth rate larvae macroparasites mathematical modeling mathematical reasoning maximum likelihood estimation microparasites model construction outbreak situations outbreak pair approximation parasite load parasite population models propagation speed reproduction number separable mixing sexual activity stochastic epidemic model structured population models susceptibility vaccination |
| ISBN |
1-283-57875-1
9786613891204 1-4008-4562-9 |
| Classificazione | SCI008000MAT003000MED022090 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front matter -- Contents -- Preface -- Part I. The bare bones: Basic issues in the simplest context -- Part II. Structured populations -- Part III. Case studies on inference -- Part IV. Elaborations -- Bibliography -- Index |
| Record Nr. | UNINA-9910785785403321 |
|
Diekmann O
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| Princeton, : Princeton University Press, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Mathematical tools for understanding infectious diseases dynamics / / Odo Diekmann, Hans Heesterbeek, and Tom Britton
| Mathematical tools for understanding infectious diseases dynamics / / Odo Diekmann, Hans Heesterbeek, and Tom Britton |
| Autore | Diekmann O |
| Edizione | [Course Book] |
| Pubbl/distr/stampa | Princeton, : Princeton University Press, 2012 |
| Descrizione fisica | 1 online resource (517 p.) |
| Disciplina | 614.4 |
| Altri autori (Persone) |
HeesterbeekHans <1960->
BrittonTom |
| Collana | Princeton series in theoretical and computational biology |
| Soggetto topico |
Epidemiology - Mathematical models
Communicable diseases - Mathematical models |
| Soggetto non controllato |
Bayesian statistical inference
ICU model Markov chain Monte Carlo method Markov chain Monte Carlo methods ReedІrost epidemic age structure asymptotic speed bacterial infections biological interpretation closed population compartmental epidemic systems consistency conditions contact duration demography dependence disease control disease outbreaks disease prevention disease transmission endemic epidemic models epidemic outbreak epidemic epidemiological models epidemiological parameters epidemiology general epidemic growth rate homogeneous community hospital infections hospital patients host population growth host human social behavior i-states individual states infected host infection transmission infection infectious disease epidemiology infectious disease infectious diseases infectious output infective agent infectivity intensive care units intrinsic growth rate larvae macroparasites mathematical modeling mathematical reasoning maximum likelihood estimation microparasites model construction outbreak situations outbreak pair approximation parasite load parasite population models propagation speed reproduction number separable mixing sexual activity stochastic epidemic model structured population models susceptibility vaccination |
| ISBN |
1-283-57875-1
9786613891204 1-4008-4562-9 |
| Classificazione | SCI008000MAT003000MED022090 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front matter -- Contents -- Preface -- Part I. The bare bones: Basic issues in the simplest context -- Part II. Structured populations -- Part III. Case studies on inference -- Part IV. Elaborations -- Bibliography -- Index |
| Record Nr. | UNINA-9910816709103321 |
|
Diekmann O
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| Princeton, : Princeton University Press, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Models of Delay Differential Equations
| Models of Delay Differential Equations |
| Autore | Rodríguez Francisco |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (248 p.) |
| Soggetto topico |
Research & information: general
Mathematics & science |
| Soggetto non controllato |
delay systems
nonstandard numerical methods dynamic consistency semilinear problems with delay hyperbolic equations difference scheme stability Hilbert space SEIRS model age structure time delay traveling wave solution local asymptotic stability Hopf bifurcation spot freight rates freight options stochastic diffusion process stochastic delay differential equation risk-neutral measure arbitration arguments partial differential equations second-order dual phase lag equation laser heating thin metal films melting and resolidification finite difference method random linear delay differential equation stochastic forcing term random Lp-calculus uncertainty quantification delay random differential equation non-standard finite difference method mean square convergence size-structured population consumer-resource model delay differential equation numerical methods characteristics method convergence analysis implementation delay information delay stability switching curve Cournot oligopoly growth rate dynamics fractional convection diffusion-wave equations compact difference scheme nonlinear delay spatial variable coefficients convergence and stability Gerasimov–Caputo fractional derivative differential equation with delay degenerate evolution equation fixed point theorem relaxation mode large parameter asymptotics HIV infection mathematical delay model eclipse phase NSFD numerical simulation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910669803603321 |
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Rodríguez Francisco
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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