PPT-Uncertainty Quantification – ME470

Author : liane-varnes | Published Date : 2016-06-25

Lecture One Paul Constantine March 29 2011 What is UQ Uncertainty Quantification ME470 Paul Constantine Combining computational models physical observations and

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Uncertainty Quantification – ME470: Transcript

Lecture One Paul Constantine March 29 2011 What is UQ Uncertainty Quantification ME470 Paul Constantine Combining computational models physical observations and possibly expert judgment . Ryan McClarren and Marvin . Adams. Texas A&M Nuclear . Engineering. Sun River Workshop on . Multiphysics. Methods. June 7-10, 2010. We . cannot. predict everything!. Laplace imagined a demon that knew the position and momentum of every particle in the universe. Euhus. , Guidance by . Edward Phillips. An Introduction To Uncertainty Quantification. Book and References. Book – . Uncertainty Quantification: Theory, Implementation, and Applications, . by Smith. Michael Clarkson and Fred B. Schneider. Cornell University. RADICAL. May 10, 2010. Goal. Information-theoretic. Quantification of. programs’ impact on. Integrity. of Information. (relationship to database privacy). in Precipitation Data Records. Yudong Tian. Collaborators: Ling Tang, Bob Adler, George Huffman, . Xin Lin, Fang Yan, Viviana Maggioni and Matt Sapiano. . University of Maryland & NASA/GSFC. http://sigma.umd.edu. Michael Clarkson and Fred B. Schneider. Cornell University. IEEE Computer Security Foundations Symposium. July 17, 2010. Goal. Information-theoretic. Quantification of. programs’ impact on. Integrity. Maryann S. Vogelsang. 1. , Amol Prakash. 1. , David Sarracino. 1. , Scott Peterman. 1. , Bryan Krastins. 1. , Jennifer Sutton. 1. , Gregory Byram. 1. , Gouri Vadali. 1. , . Shadab. Ahmad. 1. ,. Bruno Darbouret. probabilistic . dependency. Robert . L. . Mullen. Seminar: NIST . April 3. th. 2015. Rafi Muhanna. School of Civil and Environmental . Engineering . Georgia Institute of . Technology. . Atlanta, GA 30332, USA. Ulya. . R. . Karpuzcu. ukarpuzc@umn.edu. . 12/01/2015. Outline. Background. Pitfalls & Fallacies. Practical Guidelines. 2. 12/01/2015. On Quantification of Accuracy Loss in Approximate Computing. Gasifiers. Performance Measures x.x, x.x, and x.x. Aytekin Gel. 1,2 . , Mehrdad Shahnam. 1. , . Arun K. Subramaniyan. 3 . , Jordan Musser. 1. , . Jean-François Dietiker. 1,4. (1) National Energy Technology Laboratory , Morgantown, WV, U.S.A.. April 5-8, 2016. Lausanne, Switzerland. Towards Uncertainty Quantification in 21st Century Sea-Level Rise Predictions: Efficient Methods for . Bayesian Calibration and Forward Propagation of Uncertainty for Land-Ice . April 5-8, 2016. Lausanne, Switzerland. Towards Uncertainty Quantification in 21st Century Sea-Level Rise Predictions: Efficient Methods for . Bayesian Calibration and Forward Propagation of Uncertainty for Land-Ice . Russell . Hooper. NEKVAC/NUC Workshop. “Multiphysics Model Validation”. NCSU, Raleigh. June 28, 2017. Initial Scope: UQ CIPS Challenge . Problem. Quarter-core CIPS (. QoIs. : . max_crud_thickness. probabilistic . dependency. Robert . L. . Mullen. Seminar: NIST . April 3. th. 2015. Rafi Muhanna. School of Civil and Environmental . Engineering . Georgia Institute of . Technology. . Atlanta, GA 30332, USA. in Monte Carlo simulation. Matej . Batic, . Gabriela Hoff, Paolo Saracco. Collaborators: . Politecnico Milano, Fondazione Bruno Kessler, MPI HLL, Univ. Darmstadt, XFEL, UC Berkeley, State Univ. Rio de Janeiro, Hanyang Univ. (Korea) .

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