Rumour propagation: an operational research approach by computational and information theory
From MaRDI portal
Publication:2089329
DOI10.1007/s10100-020-00727-0OpenAlexW3120604852MaRDI QIDQ2089329
Burcu Gürbüz, Herman Mawengkang, Gerhard-Wilhelm Weber, Ismail Husein
Publication date: 6 October 2022
Published in: CEJOR. Central European Journal of Operations Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10100-020-00727-0
simulationsensitivity analysisnumerical methodserror boundsdifferential equationsinformation dynamicsoperational research
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Applying the stochastic Galerkin method to epidemic models with uncertainty in the parameters
- On the classical Maki-Thompson rumour model in continuous time
- Modeling gene regulatory networks with piecewise linear differential equations
- Solution of the epidemic model by homotopy perturbation method
- Mathematical biology. Vol. 2: Spatial models and biomedical applications.
- A Hermite polynomial approach for solving the SIR model of epidemics
- Optimal control of stochastic hybrid system with jumps: a numerical approximation
- Solution of the epidemic model by Adomian decomposition method
- A Stochastic Maximum Principle for a Markov Regime-Switching Jump-Diffusion Model and Its Application to Finance
- On the formulation of epidemic models (an appraisal of Kermack and McKendrick)
- NONLINEAR MATRIX MODELS AND POPULATION DYNAMICS
- A general Markov chain approach for disease and rumour spreading in complex networks
- Sensitivity and elasticity of density-dependent population models
- Numerical solutions of one-dimensional parabolic convection-diffusion problems arising in biology by the Laguerre collocation method
- Modified Laguerre collocation method for solving 1‐dimensional parabolic convection‐diffusion problems
- ON THE USE OF MATRICES IN CERTAIN POPULATION MATHEMATICS
This page was built for publication: Rumour propagation: an operational research approach by computational and information theory