Uncertainty quantification

Results: 120



#Item
91Some issues in UQ for groundwater applications Larry Winter Dept of Hydrology University of Arizona [removed]

Some issues in UQ for groundwater applications Larry Winter Dept of Hydrology University of Arizona [removed]

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Source URL: math.nist.gov

Language: English - Date: 2011-08-15 13:45:38
92The Progress report must provide a concise narrative assessment of the status of work and include the following information:

The Progress report must provide a concise narrative assessment of the status of work and include the following information:

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Source URL: www.psaap.caltech.edu

Language: English - Date: 2012-06-04 15:31:39
93Overview of Uncertainty Quantification Algorithm R&D in the DAKOTA Project Michael S. Eldred Optimization and Uncertainty Quantification Dept. Sandia National Laboratories, Albuquerque, NM NIST UQ Workshop

Overview of Uncertainty Quantification Algorithm R&D in the DAKOTA Project Michael S. Eldred Optimization and Uncertainty Quantification Dept. Sandia National Laboratories, Albuquerque, NM NIST UQ Workshop

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Source URL: math.nist.gov

Language: English - Date: 2011-08-15 13:45:36
94International Federation for Information Processing (IFIP) Conference on Uncertainty Quantification Charles Romine Acting Associate Director for Laboratory Programs and Deputy Director, NIST

International Federation for Information Processing (IFIP) Conference on Uncertainty Quantification Charles Romine Acting Associate Director for Laboratory Programs and Deputy Director, NIST

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Source URL: math.nist.gov

Language: English - Date: 2011-08-15 13:45:38
95The Quantification of Uncertainty in Cloud Retrievals (QUICR) Focus Group Shaocheng Xie and Alain Protat (Co-Chairs) Participants J. Comstock, J. Delanoë, M. Deng, M. Dunn, R. Hogan, D. Huang, M. Jensen,

The Quantification of Uncertainty in Cloud Retrievals (QUICR) Focus Group Shaocheng Xie and Alain Protat (Co-Chairs) Participants J. Comstock, J. Delanoë, M. Deng, M. Dunn, R. Hogan, D. Huang, M. Jensen,

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Source URL: asr.science.energy.gov

Language: English - Date: 2012-04-02 14:18:45
96Quantification of Uncertainty in Extreme Scale compuTations QUEST – The SciDAC UQ Institute www.quest-scidac.org Uncertainty Quantification (UQ) is needed for model validation

Quantification of Uncertainty in Extreme Scale compuTations QUEST – The SciDAC UQ Institute www.quest-scidac.org Uncertainty Quantification (UQ) is needed for model validation

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Source URL: science.energy.gov

Language: English - Date: 2014-04-16 14:36:15
97Microsoft Word - V&V Fluid and HT - flyer

Microsoft Word - V&V Fluid and HT - flyer

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Source URL: www.asmeconferences.org

Language: English - Date: 2014-02-10 09:57:16
98Overview of DAKOTA Project (from the software perspective)

Overview of DAKOTA Project (from the software perspective)

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Source URL: www.nrel.gov

Language: English - Date: 2011-01-26 12:48:11
99EFFECTS OF MEASUREMENT INTERVALS ON ESTIMATION OF AMMONIA EMISSIONS FROM LAYER HOUSES Y. Liang, H. Xin, H. Li, R. S. Gates, E. F. Wheeler, K. D. Casey ABSTRACT. Continuous quantification of aerial emissions from animal f

EFFECTS OF MEASUREMENT INTERVALS ON ESTIMATION OF AMMONIA EMISSIONS FROM LAYER HOUSES Y. Liang, H. Xin, H. Li, R. S. Gates, E. F. Wheeler, K. D. Casey ABSTRACT. Continuous quantification of aerial emissions from animal f

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Source URL: cafoaq.tamu.edu

Language: English - Date: 2012-01-30 14:20:22
100Sensitivity, Error and Uncertainty Quantification:  Interfacing Models at Different Scales  Predrag S Krstic  Institute for Advanced Computational Science, Stony Brook University, NY 11790    

Sensitivity, Error and Uncertainty Quantification:  Interfacing Models at Different Scales  Predrag S Krstic  Institute for Advanced Computational Science, Stony Brook University, NY 11790   

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Source URL: www.cfa.harvard.edu

Language: English - Date: 2014-06-11 11:54:09