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SUMMARY:8ième école EGRIN
DTSTART:20210525T083000Z
DTEND:20210528T180000Z
DTSTAMP:20260315T115800Z
UID:indico-event-6427@indico.math.cnrs.fr
CONTACT:ecole_EGRIN@math.cnrs.fr
DESCRIPTION:Speakers: emmanuel audusse\n\nHuitième école EGRIN\n\n25-28 
 mai 2021\n\n \n\n\n\n                     La premiè
 re école du GdR EGRIN\, au domaine de Chalès\, en 2013.\n\n \n\nDe nos 
 jours\, la prévention de catastrophes naturelles\, la gestion des ressour
 ces d'eau ou encore l'impact des écoulements sur les sols et structures s
 ont des questions d'importance socio-économique majeure. Le développemen
 t de modèles et d'outils de simulation numérique fiables et performants 
 est essentiel à la compréhension des ces questions. Le GdR interdiscipli
 naire EGRIN a pour objectif de rassembler des chercheurs autour de ces th
 ématiques pour échanger sur les avancées récentes\, déterminer les ve
 rrous scientifiques existants et renforcer les collaborations. Cette huiti
 ème école sera la dernière organisée par le GdR dans sa version actuel
 le. Elle sera l'occasion de faire un bilan du travail accompli durant ces 
 huit années et de dessiner les pistes de travail futures qui pourront tro
 uver leur place dans un nouveau GdR.\n\nLes exposés commenceront le mardi
  25 mai en début d'après-midi et se termineront le vendredi 28 mai à mi
 di. L'ensemble de l'école sera organisée via un outil de visioconférenc
 e.\n\nTrois mini-cours sont prévus : \n\n\n	\n		\n			\n			Cours I - Thom
 as Alazard (Centre Borelli\, Ecole Normale Supérieure Paris-Saclay)\n\n		
 	Control and Stabilization of the water-waves equations.\n			\n		\n		\n			
 \n			These lectures focus on the controllability and stabilization of grav
 ity-capillary water waves. In particular\, I will present the multiplier m
 ethod and show how it can be applied to study damping by an absorbing beac
 h where the energy of the water wave is dissipated using variations in the
  external pressure. \n			\n		\n	\n\n\n \n\n\n	\n		\n			\n			Cours II - F
 reddy Bouchet (Groupe climat et physique statistique\, Ecole Normale Supé
 rieure de Lyon)\n\n			Theoretical physics and mathematical problems for cl
 imate\, atmosphere and ocean dynamics\n			\n		\n		\n			\n			A first part o
 f these lectures will be devoted to a review of a set fundamental problems
  in climate\, atmosphere and ocean dynamics and their connections to diffe
 rent fields of theoretical physics and mathematics: partial differential e
 quations\, probability\, stochastic processes\, statistics\, machine learn
 ing\, statistical physics\, turbulence theory and topological effects in g
 eophysical fluid dynamics.  The aim will be to give an overview\, necessa
 rily limited and biased\, of where and why mathematicians and physicists h
 ave an important role to play in these fields in the future.\n			A second 
 part will present a few of my recent works related to climate and atmosphe
 re dynamics. We will consider recent developments in theoretical physics f
 or the study of rare events\, and their applications for the study of extr
 eme heat waves and abrupt climate change. We will also discuss the role of
  large deviation theory\, in connection with kinetic theory\, in order to 
 improve our understanding of turbulent flows.\n			\n		\n	\n\n\n \n\n\n	\n
 		\n			\n			Cours III - Clémentine Prieur (AIRSEA\, Laboratoire Jean Kun
 tzmann\, Université Grenoble Alpes)\n\n			Analyse de sensibilité globale
  pour modèles complexes\n			\n		\n		\n			\n			Many mathematical models us
 e a large number of poorly-known parameters as inputs. Sensitivity analysi
 s aims at quantifying the influence of each of these parameters (or of eac
 h subset of these parameters) on specific quantities of interest. More gen
 erally it helps in understanding model behavior\, characterizing uncertain
 ty\, improving model calibration\, etc. In these lectures I will focus on 
 Global Sensitivity Analysis which is based on the modeling of input uncert
 ain parameters by a probability distribution. There exist various measures
  built in that paradigm. I will mainly present variance based measures\, i
 n the framework of scalar\, vectorial and functional outputs\, in the fram
 ework of independent or dependent inputs. I will also discuss different al
 ternatives for the estimation of these measures. Most of the estimation pr
 ocedures rely on an input/output sample. The lectures will be illustrated 
 on Notebooks.\n			\n		\n	\n\n\n \n\nOrganisation : E. Audusse\, C. Lucas\
 , M.F. Grespier\n\nPartenaires :\n\n      \n\n \n\nhttps://indico.mat
 h.cnrs.fr/event/6427/
URL:https://indico.math.cnrs.fr/event/6427/
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