Editorial CEMRACS 2017 – Numerical methods for stochastic models: control, uncertainty quantification, mean-field

Bibliographic Details
Main Authors: Bouchard Bruno, Chassagneux Jean-François, Delarue François, Gobet Emmanuel, Lelong Jérome
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:ESAIM: Proceedings and Surveys
Online Access:https://www.esaim-proc.org/articles/proc/pdf/2019/01/proc196500.pdf
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spelling doaj-0a903739cbcb4b5c84a52d5f5d0d60572021-07-15T14:18:13ZengEDP SciencesESAIM: Proceedings and Surveys2267-30592019-01-0165II10.1051/proc/201965000proc196500Editorial CEMRACS 2017 – Numerical methods for stochastic models: control, uncertainty quantification, mean-fieldBouchard BrunoChassagneux Jean-FrançoisDelarue FrançoisGobet EmmanuelLelong Jéromehttps://www.esaim-proc.org/articles/proc/pdf/2019/01/proc196500.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Bouchard Bruno
Chassagneux Jean-François
Delarue François
Gobet Emmanuel
Lelong Jérome
spellingShingle Bouchard Bruno
Chassagneux Jean-François
Delarue François
Gobet Emmanuel
Lelong Jérome
Editorial CEMRACS 2017 – Numerical methods for stochastic models: control, uncertainty quantification, mean-field
ESAIM: Proceedings and Surveys
author_facet Bouchard Bruno
Chassagneux Jean-François
Delarue François
Gobet Emmanuel
Lelong Jérome
author_sort Bouchard Bruno
title Editorial CEMRACS 2017 – Numerical methods for stochastic models: control, uncertainty quantification, mean-field
title_short Editorial CEMRACS 2017 – Numerical methods for stochastic models: control, uncertainty quantification, mean-field
title_full Editorial CEMRACS 2017 – Numerical methods for stochastic models: control, uncertainty quantification, mean-field
title_fullStr Editorial CEMRACS 2017 – Numerical methods for stochastic models: control, uncertainty quantification, mean-field
title_full_unstemmed Editorial CEMRACS 2017 – Numerical methods for stochastic models: control, uncertainty quantification, mean-field
title_sort editorial cemracs 2017 – numerical methods for stochastic models: control, uncertainty quantification, mean-field
publisher EDP Sciences
series ESAIM: Proceedings and Surveys
issn 2267-3059
publishDate 2019-01-01
url https://www.esaim-proc.org/articles/proc/pdf/2019/01/proc196500.pdf
work_keys_str_mv AT bouchardbruno editorialcemracs2017numericalmethodsforstochasticmodelscontroluncertaintyquantificationmeanfield
AT chassagneuxjeanfrancois editorialcemracs2017numericalmethodsforstochasticmodelscontroluncertaintyquantificationmeanfield
AT delaruefrancois editorialcemracs2017numericalmethodsforstochasticmodelscontroluncertaintyquantificationmeanfield
AT gobetemmanuel editorialcemracs2017numericalmethodsforstochasticmodelscontroluncertaintyquantificationmeanfield
AT lelongjerome editorialcemracs2017numericalmethodsforstochasticmodelscontroluncertaintyquantificationmeanfield
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