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SUMMARY:Numerical Methods for Random Differential Models - June 11th to Ju
 ne 14th 2024
DTSTART;VALUE=DATE:20240611
DTSTAMP:20260407T002836Z
UID:643e1a57cf6cc73ca607ee08394f5b348204d7a2b4af7e6434f11031
CATEGORIES:Conferences - Seminars
DESCRIPTION:Harbir Antil\, George Mason University\, USA. Albert Cohen\,
  Sorbonne Université\, France. Caroline Geiersbach\, Weierstrass Instit
 ute\, Germany. Siddhartha Mishra\, ETH Zürich\, Switzerland. Fabio Nobil
 e\, EPF Lausanne\, Switzerland. Michela Ottobre\, Heriot Watt University
 \, United Kingdom. Thomas M. Surowiec\, Simula Research Laboratory\, Norw
 ay. Aretha Teckentrup\, University of Edinburgh\, United Kingdom. Raúl T
 empone\, KAUST\, Saudi Arabia\, and RWTH Aachen\, Germany. Gilles Vilmart
 \, Université de Genève\, Switzerland. Jakob Zech\, Heidelberg Univers
 ity\, Germany.\nThe Numerical Methods for Random Differential Models 2024 
 (NUMRAD24) summer school\, which will take place on the EPFL Lausanne camp
 us from June 11th to June 14th\, aims to present a selection of recent de
 velopments in the area of numerical approximation of random differential m
 odels. Each day is devoted to one topic respectively\, with every day’s 
 first lecture consisting of an introductory course about the topic of the 
 day\, presented by a key researcher in that domain. The courses aim at Mas
 ter and PhD students\, but all researchers are welcome. For more informati
 on\, you can visit the attached link.\n\nNote that participation is free\,
  yet registration is mandatory (limited space available\, deadline 31st Ma
 rch). Registration is open here. \n\nTopics:\n\n	Random Partial Differen
 tial Equations\n	Stochastic Differential Equations\n	Optimization under Un
 certainty\n	Scientific Machine Learning\n\nThis event is sponsored by CSQI
  Lab and EMS (European Mathematical Society).\n 
LOCATION:
STATUS:CONFIRMED
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