SIAMUQ16 - Slides Minisymp Software4UQ
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.