SIAMUQ16 - Slides Minisymp Software4UQ: Difference between revisions
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* [http://www.smartuq.com P. Qian: Handling Large-Scale Uncertainty Quantification with SmartUQ] | * [http://www.smartuq.com 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] | ||
* [http://www5.in.tum.de/persons/neckel/siamuq16_slides_minisymp/2016_chaospy_tennoe.pdf Q. Duan: Uncertainty Quantification Python Laboratory (UQ-PyL) – A GUI For Parametric Uncertainty Analysis of Large Complex Dynamical Models] | * [http://www5.in.tum.de/persons/neckel/siamuq16_slides_minisymp/2016_chaospy_tennoe.pdf Q. Duan: Uncertainty Quantification Python Laboratory (UQ-PyL) – A GUI For Parametric Uncertainty Analysis of Large Complex Dynamical Models] | ||
Revision as of 11:03, 2 May 2016
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At the 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
- D. 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
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.
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