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At [https://www.siam.org/meetings/uq16/ | [[Image:UQSoftwareWorld.png]] | ||
At the [https://www.siam.org/meetings/uq16/ SIAM conference on Uncertainty Quantification 2016], [https://www.ipvs.uni-stuttgart.de/abteilungen/sgs/abteilung/mitarbeiter/Dirk.Pflueger Dirk Pflüger] and [[Tobias Neckel]] organised a minisymposium on Software for UQ. | |||
The '''presentations''' of most of the speakers are collected here, in the order of appearance: | |||
[http://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=22282 MS 41] | [http://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=22282 MS 41] | ||
* [http://www5.in.tum.de/persons/neckel/siamuq16_slides_minisymp/2016_sgpp_Pflueger.pdf D. Pflüger: Adaptive Sparse Grids for UQ with SG++] | * [http://www5.in.tum.de/persons/neckel/siamuq16_slides_minisymp/2016_sgpp_Pflueger.pdf D. Pflüger: Adaptive Sparse Grids for UQ with SG++] | ||
* [http://www5.in.tum.de/persons/neckel/siamuq16_slides_minisymp/2016_uqtk_Debusschere.pdf B. Debusschere: UQTk: a C++/Python Toolkit for Uncertainty Quantification] | * [http://www5.in.tum.de/persons/neckel/siamuq16_slides_minisymp/2016_uqtk_Debusschere.pdf B. Debusschere: UQTk: a C++/Python Toolkit for Uncertainty Quantification] | ||
* [http://www5.in.tum.de/persons/neckel/siamuq16_slides_minisymp/2016_cossan_Patelli.pdf E. Patelli: Opencossan: A Open Matlab Tool for Dealing with Randomness, Imprecision and Vagueness] | * [http://www5.in.tum.de/persons/neckel/siamuq16_slides_minisymp/2016_cossan_Patelli.pdf E. Patelli: Opencossan: A Open Matlab Tool for Dealing with Randomness, Imprecision and Vagueness] | ||
* | * [http://www5.in.tum.de/persons/neckel/siamuq16_slides_minisymp/2016_muq_davis.pdf A. Davis: MUQ (MIT Uncertainty Quantification): A Flexible Software Framework for Algorithms and Applications] | ||
[http://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=22283 MS 56] | [http://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=22283 MS 56] | ||
* [http://www5.in.tum.de/persons/neckel/siamuq16_slides_minisymp/2016_queso_McDougall.pdf D. McDougall: The Parallel C++ Statistical Library Queso: Quantification of Uncertainty for Estimation, Simulation and Optimization] | * [http://www5.in.tum.de/persons/neckel/siamuq16_slides_minisymp/2016_queso_McDougall.pdf D. McDougall: The Parallel C++ Statistical Library Queso: Quantification of Uncertainty for Estimation, Simulation and Optimization] | ||
* [http://www5.in.tum.de/persons/neckel/siamuq16_slides_minisymp/2016_chaospy_tennoe.pdf | * [http://www5.in.tum.de/persons/neckel/siamuq16_slides_minisymp/2016_chaospy_tennoe.pdf S. Tennoe: Chaospy: A Modular Implementation of Polynomial Chaos Expansions and Monte Carlo Methods] | ||
* [http://www5.in.tum.de/persons/neckel/siamuq16_slides_minisymp/2016_dakota_Adams.pdf P. Hough: Recent Advances in Dakota UQ] | * [http://www5.in.tum.de/persons/neckel/siamuq16_slides_minisymp/2016_dakota_Adams.pdf P. Hough: Recent Advances in Dakota UQ] | ||
* | * P. Qian: Handling Large-Scale Uncertainty Quantification with SmartUQ | ||
[http://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=22284 MS 72] | [http://meetings.siam.org/sess/dsp_programsess.cfm?SESSIONCODE=22284 MS 72] | ||
* | * [http://www5.in.tum.de/persons/neckel/siamuq16_slides_minisymp/2016_uqlab_Marelli.pdf S. Marelli: Advancements in the Uqlab Framework for Uncertainty Quantification] | ||
* [http://www5.in.tum.de/persons/neckel/siamuq16_slides_minisymp/2016_psuade_Tong.pdf C. Tong: PSUADE: A Software Toolkit for Uncertainty Quantification] | * [http://www5.in.tum.de/persons/neckel/siamuq16_slides_minisymp/2016_psuade_Tong.pdf C. Tong: PSUADE: A Software Toolkit for Uncertainty Quantification] | ||
* | * Q. Duan: Uncertainty Quantification Python Laboratory (UQ-PyL) – A GUI For Parametric Uncertainty Analysis of Large Complex Dynamical Models | ||
The above image shows the majority of available software in the context of UQ. Non-transparent boxes represent codes described in the minisymposium, whereas transparent boxes relate to further existing software. | |||
We plan to repeat this minisymposium at the next SIAM UQ in 2018. If | |||
your software is missing on this list and if you would like to | |||
contribute, please notify us. | |||
[[Image:SIAMUQ16_minisymp_impression.JPG]] | |||
Latest revision as of 12:03, 24 April 2018
Error creating thumbnail: Unable to save thumbnail to destination
At the SIAM conference on Uncertainty Quantification 2016, Dirk Pflüger and Tobias Neckel organised a minisymposium on Software for UQ.
The presentations of most of the speakers are collected here, in the order of appearance:
- D. Pflüger: Adaptive Sparse Grids for UQ with SG++
- B. Debusschere: UQTk: a C++/Python Toolkit for Uncertainty Quantification
- E. Patelli: Opencossan: A Open Matlab Tool for Dealing with Randomness, Imprecision and Vagueness
- A. Davis: MUQ (MIT Uncertainty Quantification): A Flexible Software Framework for Algorithms and Applications
- D. McDougall: The Parallel C++ Statistical Library Queso: Quantification of Uncertainty for Estimation, Simulation and Optimization
- S. Tennoe: Chaospy: A Modular Implementation of Polynomial Chaos Expansions and Monte Carlo Methods
- P. Hough: Recent Advances in Dakota UQ
- P. Qian: Handling Large-Scale Uncertainty Quantification with SmartUQ
- S. Marelli: Advancements in the Uqlab Framework for Uncertainty Quantification
- C. Tong: PSUADE: A Software Toolkit for Uncertainty Quantification
- Q. Duan: Uncertainty Quantification Python Laboratory (UQ-PyL) – A GUI For Parametric Uncertainty Analysis of Large Complex Dynamical Models
The above image shows the majority of available software in the context of UQ. Non-transparent boxes represent codes described in the minisymposium, whereas transparent boxes relate to further existing software.
We plan to repeat this minisymposium at the next SIAM UQ in 2018. If
your software is missing on this list and if you would like to
contribute, please notify us.
Error creating thumbnail: Unable to save thumbnail to destination
