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hal.structure.identifierAdvanced Learning Evolutionary Algorithms [ALEA]
dc.contributor.authorDEL MORAL, Pierre
hal.structure.identifierMassachusetts Institute of Technology [MIT]
dc.contributor.authorNICOLAS G., Hadjiconstantinou
dc.date.issued2010-08-26
dc.identifier.issn0764-583X
dc.description.abstractEnThis special volume of the ESAIM Journal, Mathematical Modelling and Numerical Analysis, contains a collection of articles on probabilistic interpretations of some classes of nonlinear integro-differential equations. The selected contributions deal with a wide range of topics in applied probability theory and stochastic analysis, with applications in a variety of scientific disciplines, including physics, biology, fluid mechanics, molecular chemistry, financial mathematics and bayesian statistics. In this preface, we provide a brief presentation of the main contributions presented in this special volume. We have also included an introduction to classic probabilistic methods and a presentation of the more recent particle methods, with a synthetic picture of their mathematical foundations and their range of applications.
dc.language.isoen
dc.publisherEDP Sciences
dc.title.enAn Introduction to probabilistic methods, with applications.
dc.typeArticle de revue
dc.identifier.doi10.1051/m2an/2010043
dc.subject.halMathématiques [math]/Probabilités [math.PR]
bordeaux.journalESAIM: Mathematical Modelling and Numerical Analysis
bordeaux.page805 - 829
bordeaux.volume44
bordeaux.peerReviewedoui
hal.identifierinria-00533434
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//inria-00533434v1
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