Modeling and forecasting the peak flows of a river.
Lefebvre, Mario (2002)
Mathematical Problems in Engineering
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Lefebvre, Mario (2002)
Mathematical Problems in Engineering
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Duško Letić, Vesna Jevtić (2009)
The Yugoslav Journal of Operations Research
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Horňák, Ivan, Přikryl, Jan
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Despite their deficiencies, continuous second-order traffic flow models are still commonly used to derive discrete-time models that help traffic engineers to model and predict traffic oflow behaviour on highways. We brie fly overview the development of traffic flow theory based on continuous flow-density models of Lighthill-Whitham-Richards (LWR) type, that lead to the second-order model of Aw-Rascle. We will then concentrate on widely-adopted discrete approximation to the LWR model...
A.I. Lobanov, A.V. Nikolaev, T.K. Starozhilova (2011)
Mathematical Modelling of Natural Phenomena
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Blood clotting system (BCS) modelling is an important issue with a plenty of applications in medicine and biophysics. The BCS main function is to form a localized clot at the site of injury preventing blood loss. Mutual influence of fibrin clot consisting mainly of fibrin polymer gel and blood flow is an important factor for BCS to function properly. The process of fibrin polymer mesh formation has not adequately been described by current mathematical models. That is why it is not possible...
Milan Marković, Miloš Ivić, Norbert Pavlović, Slađana Janković (2007)
The Yugoslav Journal of Operations Research
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Roşu, L., Bărbulescu, A., Hâncu, S., Dumitru, A. (2007)
Analele Ştiinţifice ale Universităţii “Ovidius" Constanţa. Seria: Matematică
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Petr Volf (2005)
Kybernetika
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A stochastic process cumulating random increments at random moments is studied. We model it as a two-dimensional random point process and study advantages of such an approach. First, a rather general model allowing for the dependence of both components mutually as well as on covariates is formulated, then the case where the increments depend on time is analyzed with the aid of the multiplicative hazard regression model. Special attention is devoted to the problem of prediction of process...