SIAMUQ16 - Slides Minisymp Software4UQ: Difference between revisions
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The presentations of most of the speakers are collected here, in the order of appearance: | 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++] | ||
Revision as of 15:32, 27 April 2016
At 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
- [www.smartuq.com 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