Uncertainty quantification of numerical experiments: Several issues in industrial applications
57 mins 42 secs,
838.61 MB,
MPEG-4 Video
640x360,
29.97 fps,
44100 Hz,
1.93 Mbits/sec
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Description: |
Iooss, B (Electricté de France, Université Paul Sabatier Toulouse III)
Monday 8th January 2018 - 14:00 to 15:00 |
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Created: | 2018-01-10 16:12 |
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Collection: | Uncertainty quantification for complex systems: theory and methodologies |
Publisher: | Isaac Newton Institute |
Copyright: | Iooss, B |
Language: | eng (English) |
Distribution: | World (downloadable) |
Explicit content: | No |
Aspect Ratio: | 16:9 |
Screencast: | No |
Bumper: | UCS Default |
Trailer: | UCS Default |
Abstract: | In this talk, I will present some recent works of EDF R&D about the uncertainty management of cpu-expensive computer codes (also called numerical models). I will focus on the following topics: visualization tools in uncertainty and sensitivity analysis, functional risk curve estimation via a metamodel-based methodology, sensitivity analysis with dependent inputs using Shapley effects and robustness analysis of quantile estimation by the way of a recent technique based on perturbation of inputs' probability distributions. |
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MPEG-4 Video * | 640x360 | 1.93 Mbits/sec | 838.61 MB | View | Download | |
WebM | 640x360 | 800.95 kbits/sec | 338.59 MB | View | Download | |
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MP3 | 44100 Hz | 249.73 kbits/sec | 105.66 MB | Listen | Download | |
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