Séminaires de probabilités et statistiques (SAMM, 2009-2010) Université Paris 1 Panthéon-Sorbonne
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- Образование
Les séminaires hebdomadaires du laboratoire SAMM portent sur l'un des thèmes suivants : probabilités, statistiques ou mathématiques complexes. Les exposés proposés sont des exposés de recherche qui conviendront à des étudiants de M2 et doctorat ainsi qu'à des chercheurs en mathématiques appliquées. Les exposés étiquetés "mathématiques complexes" sont organisés avec le soutien de l'Institut des Sciences Complexes Paris Ile-de-France. Le séminaire à lieu les vendredi de 11 h à 12 h en salle C-20-13 au centre PMF de l'Université Paris 1. Les supports de présentation sont disponibles sur l'Espace pédagogique interactif (http://epi.univ-paris1.fr/samos-sem). Le programme des prochains exposés est disponible à l'adresse suivante : http://samm.univ-paris1.fr/Seminaires. Recommandé à : étudiant de la discipline, chercheur - Catégorie : conférences - Année de réalisation : 2009-2010
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36- Modeling Urban Housing Market Dynamics : Can Socio-Spatial Segregation Preserve Some Social Diversity (Laetitia Gauvin)
This talk is concerned with issues related to social diversity in urban environments. We introduce a model of real estate transactions between agents which are heterogeneous in their willingness to pay. A key feature of the model is the assumption that agents preferences for a location depend both on an intrinsic attractiveness of the location, and on the social characteristics of its neighborhood. Focusing on the case of a monocentric city, the stationary state is analytically characterized and gives the distribution of income over space. The model is studied through numerical simulations as well
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35- Visualising Social Complexity : Scaling, Size and Space-Time Dynamics ( Michael Batty)
Cities are constellations of human processes that give rise to a multitude of dynamic behaviours manifesting themselves in rapid, abrupt, surprising, fast, slow and smooth changes across many temporal and spatial scales.
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34- Evolution of Transportation Networks ( Marc Barthélémy)
Formation and evolution of transportation networks, in the particular case of subway network.
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33- Compressed sensing ( Thomas Martinetz)
The Sparse Coding principle together with novel theoretical insights like the "L1-norm miracle" have led to the new field of "Compressed Sensing". In this talk I will introduce the main ideas and main methods of compressed sensing and give an overview of the main applications of this exciting new field
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32- Accelerated finite difference schemes for stochastic PDEs ( Istvan Gyongy)
We give sufficient conditions under which the convergence of finite difference approximations in the space variable of the solution to the Cauchy problem for stochastic PDEs of parabolic type can be accelerated to any given order of convergence by Richardson's method.
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31- Sparse coding Neural Gas ( Thomas Martinetz)
Manifold learning with sparse coding, applications to image reconstruction.