✦ LIBER ✦

Stochastic Dynamics on Hypergraphs and the Spatial Majority Rule Model

✍ Scribed by N. Lanchier, J. Neufer

Book ID: 120731462
Publisher: Springer
Year: 2012
Tongue: English
Weight: 948 KB
Volume: 151
Category: Article
ISSN: 0022-4715
DOI: 10.1007/s10955-012-0543-5

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A stochastic model for the spatial distr

A stochastic model for the spatial distribution of species based on an aggregation–repulsion rule

✍ D. Mouillot; A. Lepretre; M.-C. Andrei-Ruiz; F. Mouillot; D. Viale 📂 Article 📅 2000 🏛 Springer Japan 🌐 English ⚖ 448 KB

Host-parasitoid spatial models: the inte

Host-parasitoid spatial models: the interplay of demographic stochasticity and dynamics

✍ Wilson, H. B.; Hassell, M. P. 📂 Article 📅 1997 🏛 The Royal Society 🌐 English ⚖ 379 KB

On the dynamics of a deterministic and s

On the dynamics of a deterministic and stochastic model for mosquito control

✍ M. Predescu; G. Sirbu; R. Levins; T. Awerbuch-Friedlander 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 438 KB

Special Issue on Stochastic and Dynamic

Special Issue on Stochastic and Dynamic Models in Transportation || Stochastic and Dynamic Vehicle Routing in the Euclidean Plane with Multiple Capacitated Vehicles

✍ Dimitris J. Bertsimas and Garrett van Ryzin 📂 Article 📅 1993 🏛 INFORMS 🌐 English ⚖ 997 KB

The Effects of Stochasticity and Seasona

The Effects of Stochasticity and Seasonality on Model Dynamics: Bovine Tuberculosis in Badgers

✍ G.D. Ruxton 📂 Article 📅 1996 🏛 John Wiley and Sons 🌐 English ⚖ 924 KB

A concurrent model reduction approach on

A concurrent model reduction approach on spatial and random domains for the solution of stochastic PDEs

✍ Swagato Acharjee; Nicholas Zabaras 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 664 KB

A methodology is introduced for rapid reduced-order solution of stochastic partial differential equations. On the random domain, a generalized polynomial chaos expansion (GPCE) is used to generate a reduced subspace. GPCE involves expansion of the random variable as a linear combination of basis fun