Stochastic Geometry: Boolean model and random geometric graphs
Autor: | Pierre Calka, Arnaud Rousselle, Anaïs Vergne, Jean-Baptiste Gouéré, David Coupier |
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Přispěvatelé: | Laboratoire de Mathématiques Raphaël Salem (LMRS), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Paul Painlevé - UMR 8524 (LPP), Centre National de la Recherche Scientifique (CNRS)-Université de Lille, Mathématiques - Analyse, Probabilités, Modélisation - Orléans (MAPMO), Centre National de la Recherche Scientifique (CNRS)-Université d'Orléans (UO), Télécom ParisTech, Laboratoire Paul Painlevé (LPP), Université de Lille-Centre National de la Recherche Scientifique (CNRS), Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS) |
Rok vydání: | 2015 |
Předmět: |
Random graph
T57-57.97 Applied mathematics. Quantitative methods Boolean model Computer science 010102 general mathematics Random media 01 natural sciences Session (web analytics) Point process [MATH.MATH-PR]Mathematics [math]/Probability [math.PR] Algebra 010104 statistics & probability Transmission (telecommunications) QA1-939 0101 mathematics Stochastic geometry Mathematics |
Zdroj: | ESAIM: Proceedings and Surveys ESAIM: Proceedings and Surveys, EDP Sciences, 2015, Modélisation Aléatoire et Statistique-Journées MAS 2014, 51, pp.175-192 ESAIM: Proceedings and Surveys, 2015, Modélisation Aléatoire et Statistique-Journées MAS 2014, 51, pp.175-192 ESAIM: Proceedings and Surveys, Vol 51, Pp 175-192 (2015) |
ISSN: | 2267-3059 |
DOI: | 10.1051/proc/201551010 |
Popis: | This paper collects the four contributions which were presented during the session devoted to Stochastic Geometry at the journées MAS 2014. It is focused in particular on several questions related to the transmission of information in a general sense in different random media. The underlying models include the Boolean model, simplicial complexes or geometric random graphs induced by a point process. |
Databáze: | OpenAIRE |
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