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calibration2024.run.xml | ||
calibration2024.bcf |
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@inproceedings{Baudin2021, | ||
title={Linear algebra of linear and nonlinear bayesian calibration}, | ||
author={Baudin, Michaël and Lebrun, Régis}, | ||
year={2021}, | ||
booktitle = {UNCECOMP 2021}, | ||
pages = {339--353}, | ||
organization = "4th ECCOMAS Thematic Conference on Uncertainty Quantification in Computational Sciences and Engineering M. Papadrakakis, V. Papadopoulos, G. Stefanou (eds.) Streamed from Athens, Greece, 28-30 June 2021", | ||
} | ||
@book{BinghamFry2010, | ||
title={Regression, Linear Models in Statistics}, | ||
author={N. H. Bingham and John M. Fry}, | ||
series={Springer Undergraduate Mathematics Series}, | ||
year={2010}, | ||
publisher={Springer} | ||
} | ||
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@book{BinghamFry, | ||
title={Regression, Linear Models in Statistics}, | ||
author={N. H. Bingham and John M. Fry}, | ||
series={Springer Undergraduate Mathematics Series}, | ||
year={2010}, | ||
publisher={Springer} | ||
} | ||
@INPROCEEDINGS{Hansen00thelcurve, | ||
author = {P. C. Hansen}, | ||
title = {The {L}-Curve and its Use in the Numerical Treatment of Inverse Problems}, | ||
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year = {2000}, | ||
pages = {119--142}, | ||
publisher = {WIT Press} | ||
} | ||
@article{trucano2006calibration, | ||
title={Calibration, validation, and sensitivity analysis: What's what}, | ||
author={Trucano, Timothy G and Swiler, Laura Painton and Igusa, Takera and Oberkampf, William L and Pilch, Martin}, | ||
journal={Reliability Engineering \& System Safety}, | ||
volume={91}, | ||
number={10-11}, | ||
pages={1331--1357}, | ||
year={2006}, | ||
publisher={Elsevier} | ||
} | ||
@techreport{Blanchard2020, | ||
author = {Jean-Baptiste Blanchard and Guillaume Damblin and Michaël Baudin}, | ||
title = {Introduction aux problèmes de calibration de paramètres.}, | ||
year = {2020}, | ||
institution = {I3P, EDF R\&D et CEA}, | ||
} | ||
@book{Evensen2009, | ||
title = {Data Assimilation - The Ensemble {Kalman} Filter}, | ||
author = {Geir Evensen}, | ||
year = {2009}, | ||
publisher = {SIAM} | ||
} | ||
@book{Sen1990, | ||
author = "Ashish Sen and Muni Srivastava", | ||
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publisher = "Springer", | ||
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author = "Norman R. Draper and Harry Smith", | ||
title = "Applied Regression Analysis, Third Edition", | ||
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publisher = "John Wiley \& Sons, Inc.", | ||
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title={Data assimilation. Methods, algorithms and applications.}, | ||
author={Asch, Mark and Bocquet, Marc and Nodet, Maëlle}, | ||
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@incollection{iooss2015review, | ||
title={A review on global sensitivity analysis methods}, | ||
author={Iooss, Bertrand and Lema{\^\i}tre, Paul}, | ||
booktitle={Uncertainty management in simulation-optimization of complex systems}, | ||
pages={101--122}, | ||
year={2015}, | ||
publisher={Springer} | ||
} | ||
@Inbook{Baudin2016, | ||
author="Baudin, Micha{\"e}l and Dutfoy, Anne and Iooss, Bertrand and Popelin, Anne-Laure", | ||
title="{OpenTURNS}: An Industrial Software for Uncertainty Quantification in Simulation. In: Ghanem R., Higdon D., Owhadi H. (eds) Handbook of Uncertainty Quantification.", | ||
year="2016", | ||
publisher="Springer International Publishing", | ||
address="Cham", | ||
pages="1--38", | ||
isbn="978-3-319-11259-6", | ||
doi="10.1007/978-3-319-11259-6_64-1", | ||
url="https://doi.org/10.1007/978-3-319-11259-6_64-1" | ||
} | ||
@techreport{BaudinMethodes2020, | ||
author = {Michaël Baudin and Régis Lebrun}, | ||
title = {Méthodes de calage : algorithmes mathématiques et implémentation dans {OpenTURNS}.}, | ||
year = {2020}, | ||
institution = {EDF R\&D}, | ||
number={6125-3119-2020-02448-FR} | ||
} | ||
@techreport{BaudinMethodes2022, | ||
author = {Michaël Baudin}, | ||
title = {Méthodes de calage : algorithmes mathématiques avancés et implémentation dans {OpenTURNS}.}, | ||
year = {2022}, | ||
institution = {EDF R\&D}, | ||
number={6125-3119-2022-00175-FR} | ||
} | ||
@unpublished{OpenTURNSCalibrationFlooding, | ||
author = "{Consortium OpenTURNS}", | ||
title = "Calibration of the flooding model", | ||
year = "2022", | ||
note = "\url{http://openturns.github.io/openturns/master/auto_calibration/least_squares_and_gaussian_calibration/plot_calibration_flooding.html}", | ||
} | ||
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title={The elements of statistical learning: data mining, inference, and prediction}, | ||
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@article{Rocquigny2006LaMaitrise, | ||
title={La maîtrise des incertitudes dans un contexte industriel. 1re partie: une approche méthodologique globale basée sur des exemples.}, | ||
author={de Rocquigny, Etienne.}, | ||
journal={Journal de la Société française de statistique}, | ||
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% Copyright (C) 2024 - Michaël Baudin | ||
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\documentclass[9pt]{beamer} | ||
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%\setbeameroption{hide notes} | ||
%\setbeameroption{show notes} | ||
%\setbeameroption{show only notes} | ||
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\input{macros} | ||
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\title[Calibration in OpenTURNS]{Overview of calibration features in OpenTURNS} | ||
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\author[M. Baudin]{ | ||
Michaël Baudin \inst{1} | ||
} | ||
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\institute[EDF]{ | ||
\inst{1} EDF R\&D. 6, quai Watier, 78401, Chatou Cedex - France, michael.baudin@edf.fr | ||
} | ||
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\date[]{June 19th 2024, Palaiseau, France} | ||
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% | ||
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\begin{document} | ||
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% | ||
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\begin{frame} | ||
\titlepage | ||
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\begin{center} | ||
\includegraphics[height=0.15\textheight]{figures/edf.jpg} | ||
\end{center} | ||
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\end{frame} | ||
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% | ||
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\begin{frame} | ||
\frametitle{Introduction} | ||
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Le calage est l'étape B' de la méthodologie \footnote{Voir \cite{BaudinMethodes2020} and OpenTURNS \cite{OpenTURNSCalibrationFlooding}}. | ||
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\begin{figure} | ||
\begin{center} | ||
\includegraphics[width=0.7\textwidth]{MethodologieIncertitude-EN.pdf} | ||
\end{center} | ||
\caption{L'étape B' de calage associe les sorties observées au modèle pour | ||
ajuster les entrées.} | ||
\end{figure} | ||
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\end{frame} | ||
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% | ||
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\begin{frame} | ||
\frametitle{Introduction} | ||
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On dispose : | ||
\begin{itemize} | ||
\item d'observations, | ||
\item d'un modèle paramétrique. | ||
\end{itemize} | ||
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On cherche : | ||
\begin{itemize} | ||
\item des paramètres, | ||
\item tels que les prédictions du modèle soient | ||
\emph{proches} des observations. | ||
\end{itemize} | ||
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\begin{figure} | ||
\begin{center} | ||
\includegraphics[width=0.5\textwidth]{flooding_before_calibration.pdf} | ||
\end{center} | ||
\caption{Des observations comparées à des prédictions.} | ||
\end{figure} | ||
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\end{frame} | ||
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% | ||
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\section{References} | ||
\begin{frame}[allowframebreaks] | ||
\frametitle{Références} | ||
\nocite{*} | ||
\bibliographystyle{apalike} | ||
\bibliography{calibration2024} | ||
\end{frame} | ||
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\end{document} |
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