PPT-A Study of Uncertainty Quantification of CIPS

Russell Hooper NEKVACNUC Workshop Multiphysics Model Validation NCSU Raleigh June 28 2017 Initial Scope UQ CIPS Challenge Problem Quartercore CIPS QoIs maxcrudthickness. 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). Lecture One. Paul . Constantine. March 29, 2011. What is UQ???. Uncertainty Quantification – ME470. Paul Constantine. Combining computational models, physical observations, and possibly expert . judgment . 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. 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.. May 22, 2013. 2.  . Evaluating Uncertainty . Feedback from stakeholders and the Independent Scientific Panel (ISP) stressed that the understanding and evaluation of uncertainty is important in the prioritization. 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 . Insert branch name & contact details. Introducing CIPS. Chartered. Body. Charitable. Status. Awarding. Body. Membership Organisation. CIPS for Business. CIPS FOR BUSINESS. Why CIPS?. Expertise. Professionalism. Insert branch name & contact details. Introducing CIPS. Chartered. Body. Charitable. Status. Awarding. Body. Membership Organisation. CIPS for Business. CIPS FOR BUSINESS. Why CIPS?. Expertise. Professionalism. 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 . Welcome to CIPS Subtitle Insert branch name & contact details Introducing CIPS Chartered Body Charitable Status Awarding Body Membership Organisation CIPS for Business CIPS FOR BUSINESS Why CIPS? 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) .