PPT-A minimal subspace rotation approach for extreme model reduction in fluid

Author : tatyana-admore | Published Date : 2018-03-16

mechanics Irina Tezaur 1 Maciej Balajewicz 2 1 Extreme Scale Data Science amp Analytics Department Sandia National Laboratories 2 Aerospace Engineering Department

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A minimal subspace rotation approach for extreme model reduction in fluid: Transcript

mechanics Irina Tezaur 1 Maciej Balajewicz 2 1 Extreme Scale Data Science amp Analytics Department Sandia National Laboratories 2 Aerospace Engineering Department University of Illinois UrbanaChampaign. Yisong Yue . Carnegie Mellon University. Joint work with. Sue Ann Hong (CMU) & Carlos . Guestrin. (CMU). …. Sports. Like!. Topic. # Likes. # Displayed. Average. Sports. 1. 1. 1. Politics. Ambroziak. Ryan Fox. Cs 638-1. 5/3/10. Virtual Barber. The Goal. Go From This. The Goal. Go From This. To This. The Motivation. For people who have had facial hair for a long time, the decision to shave can be difficult. Pole Vault. Kyle Rutledge. Asst. Coach . Pittsburg State University. Take Off. Accelerating Pole to Vertical. Pole at Highest Point just before Impact. Body in Vertical Position. Pole Speed . Pushing Through Impact. A. . Da . Ronch, N.D. . Tantaroudas. , . S.Timme. and K.J. Badcock. University of Liverpool, U.K.. AIAA Paper 2013-. 1942. Boston, MA, 08 April 2013. email:. K.J.Badcock@liverpool.ac.uk. Shape Optimisation. Asymptotics. Yining Wang. , Jun . zhu. Carnegie Mellon University. Tsinghua University. 1. Subspace Clustering. 2. Subspace Clustering Applications. Motion Trajectories tracking. 1. 1 . (. Elhamifar. RMG Study Group Presentation. Kehang Han. Apr. 28, 2015. Outline. Why we need model reduction. Two levels of model reduction. Most recent methods. Personal opinion. High CPU time . in predictive . combustion. mechanics. Irina Tezaur. 1. , . Maciej. Balajewicz. 2. 1. Extreme Scale Data Science & Analytics Department, Sandia National Laboratories. 2. Aerospace Engineering Department, University of Illinois Urbana-Champaign. References. : 1. 10.5, 10.6 of Huang. 2. “Robust Speech Recognition in Additive and Convolutional Noise Using Parallel . Model Combination” Computer Speech and Language, Vol. 9, 1995. Yining Wang. , Yu-Xiang Wang, . Aarti. Singh. Machine Learning Department. Carnegie . mellon. university. 1. Subspace Clustering. 2. Subspace Clustering Applications. Motion Trajectories tracking. 1. René Vidal. Center for Imaging Science. Institute for Computational Medicine. Johns Hopkins University. Data segmentation and clustering. Given a set of points, separate them into multiple groups. Discriminative methods: learn boundary. Different statistical distributions that are used to more accurately describe the extremes of a distribution. Normal distributions don’t give suitable information in the tails of the distribution. Extreme value analysis is primarily concerned with modeling the low probability, high impact events well. By Philip J. Pellegrino, Psy.D.. Licensed Psychologist. Moral Model. Spiritual Model. Disease Model. Social Learning Model. AA/Abstinence Model. Treatment Models. Substance use is viewed as a problem of moral failing, character defect and sin.. approach for obtaining stable &. accurate low-order . projection-based reduced order models for nonlinear . compressible flow. Irina Tezaur. 1. , . Maciej. Balajewicz. 2. 1. Quantitative Modeling & Analysis Department, Sandia National Laboratories. Resistive MHD . Stability Analysis, and High Normalized Beta Plasmas Exceeding . the . Ideal Stability Limit in . KSTAR . (by Y.S. Park, Columbia University, USA). . KSTAR H-mode equilibria have reached the n = 1 ideal MHD no-wall stability limit computed with H-mode profiles.

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