Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Systèmes de particules"'
Autor:
Rey, Thomas
Publikováno v:
Numerical Analysis [math.NA]. Université de Lille, 2023
128 pages; This habilitation thesis covers a large part of the research I have carried out since the end of my PhD training. This work has been essentially aimed at modeling, analyzing and simulating systems composed of a large number of interacting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::54fc02800b2e89b00392523c66abe82f
https://theses.hal.science/tel-04032898
https://theses.hal.science/tel-04032898
Autor:
Hartarsky, Ivailo
Publikováno v:
Probability [math.PR]. Université Paris Dauphine-PSL, 2022. English. ⟨NNT : ⟩
Chapters 2-12 are based on published or submitted works - see the corresponding links in the metadata. Some of them are joint work with Laure Marêché, Fabio Martinelli, Tamás Mezei, Robert Morris, Réka Szabó and Cristina Toninelli; We study two
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3379::1f98d03f26c40a0e7964cf5b24c03741
https://theses.hal.science/tel-03527333/file/thesis.pdf
https://theses.hal.science/tel-03527333/file/thesis.pdf
Autor:
Hartarsky, Ivailo
We study two tightly related classes of statistical mechanics models on the two-dimensional square lattice—kinetically constrained models and bootstrap percolation. The former arose as models of the dynamics of supercooled liquids close to the glas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______166::ebd9823661daaad2e34b98df8a57bd90
https://theses.hal.science/tel-03677521
https://theses.hal.science/tel-03677521
Autor:
Kahn, Ezéchiel
Publikováno v:
Probability [math.PR]. Ecole des Ponts ParisTech, 2021. English. ⟨NNT : ⟩
Probability [math.PR]. Ecole des Ponts ParisTech, 2021. English
Probability [math.PR]. Ecole des Ponts ParisTech, 2021. English
This thesis is motivated by the study of covariance matrices, and is naturally structured in three parts. In the first part, we study dynamic models related to covariance matrices. More precisely, we study the systems of stochastic differential equat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f20f951afba5b55f6ae6adec22ee8895
https://hal.science/tel-03531875/document
https://hal.science/tel-03531875/document
Autor:
Gu, Chenlin
Publikováno v:
Mathematics [math]. Ecole Normale Supérieure Paris, 2021. English
This thesis studies the interaction between quantitative homogenization theory and two stochastic models: the supercritical percolation model and interacting particle systems. Stochastic homogenization focuses on large-scale properties in the random
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::91ecc7844df6ccf56155f5b885da2aeb
https://tel.archives-ouvertes.fr/tel-03203835
https://tel.archives-ouvertes.fr/tel-03203835
Autor:
Bencheikh, Oumaima
Publikováno v:
Mathematics [math]. Université Paris-Est Marne la vallée, 2020. English
Mathematics [math]. Université Paris-Est Marne la vallée, 2020. English. ⟨NNT : ⟩
Mathematics [math]. Université Paris-Est Marne la vallée, 2020. English. ⟨NNT : ⟩
This thesis is dedicated to the theoretical and numerical study of the weak error for time and particle discretizations of some Stochastic Differential Equations non linear in the sense of McK- ean. In the first part, we address the weak error analys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::18143ef08be3862fe4141e4136266996
https://pastel.archives-ouvertes.fr/tel-03129956/file/TH2020PESC1030.pdf
https://pastel.archives-ouvertes.fr/tel-03129956/file/TH2020PESC1030.pdf
Autor:
Fernandez Montero, Alejandro
Publikováno v:
Probability [math.PR]. Institut Polytechnique de Paris, 2020. English. ⟨NNT : 2020IPPAX044⟩
Chains of oscillator systems enable to model microscopically a solid, in order to study energy transport and prove Fourier’s law. In this thesis, we introduce two new models of chains of oscillators with local mean field mechanical interaction and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2592::6279d1a77b7df1177aaf1c07713421a6
https://tel.archives-ouvertes.fr/tel-02982380/file/93356_FERNANDEZ_MONTERO_2020_archivage.pdf
https://tel.archives-ouvertes.fr/tel-02982380/file/93356_FERNANDEZ_MONTERO_2020_archivage.pdf
Autor:
Rosello, Angelo
Publikováno v:
Equations aux dérivées partielles [math.AP]. École normale supérieure de Rennes, 2020. Français. ⟨NNT : 2020ENSR0021⟩
This thesis aims at providing an understanding of certain scaling limits for kinetic models perturbed with some random noise, where the limiting object remains of stochastic nature, governed by a stochastic partial differential equation. In the first
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2592::b2f7e67da0620c2e39d7918beacc8352
https://tel.archives-ouvertes.fr/tel-02903157
https://tel.archives-ouvertes.fr/tel-02903157
Autor:
Du, Qiming
Publikováno v:
Probability [math.PR]. École Doctorale de Sciences Mathématiques de Paris-Centre Section Mathématiques appliquées; Sorbonne Université, LPSM, 2020. English
This thesis consists in three parts, all connecting to the Sequential Monte Carlo (SMC) framework. The primary motivation is to understand the generalized Adaptive Multilevel Splitting, an algorithm that aims at estimating the rare-event transition p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______212::9b6aeaff2fb7d174023c293adce76b82
https://tel.archives-ouvertes.fr/tel-02969115
https://tel.archives-ouvertes.fr/tel-02969115
Autor:
Fernandez Montero, Alejandro
Publikováno v:
Probability [math.PR]. Institut Polytechnique de Paris, 2020. English. ⟨NNT : 2020IPPAX044⟩
Chains of oscillator systems enable to model microscopically a solid, in order to study energy transport and prove Fourier’s law. In this thesis, we introduce two new models of chains of oscillators with local mean field mechanical interaction and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6279d1a77b7df1177aaf1c07713421a6
https://theses.hal.science/tel-02982380
https://theses.hal.science/tel-02982380