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

Presentation Embed Code

Download Presentation

Download Presentation The PPT/PDF document "A minimal subspace rotation approach for..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.

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. 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. Moritz . Hardt. , David P. Woodruff. IBM Research . Almaden. Two Aspects of Coping with Big Data. Efficiency. Handle. enormous inputs. Robustness. Handle . adverse conditions. Big Question: Can we have both?. Luca . Cilibrasi. , . Vesna. . Stojanovik. , Patricia Riddell,. . School of Psychology, University of Reading. Minimal pairs. Minimal pairs are defined as pairs of words in a particular language which differ in only one phonological element and have a different meaning (Roach, 2000). Accelerating Contextual Bandits. Yisong . Yue, . Sue Ann Hong . and. . Carlos Guestrin . Personalized Recommender Systems. Every day, user . visits . news portal. Wish to personalize to her . preferences. 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. -toolbox for . biosensing. and monitoring biodiversity. Kate . Adamala. MIT Media Lab, . MIT Department . of Biological Engineering . Kate Adamala. Readout of biology – where?. End-point. Remove samples, analyze in the lab. Asymptotics. Yining Wang. , Jun . zhu. Carnegie Mellon University. Tsinghua University. 1. Subspace Clustering. 2. Subspace Clustering Applications. Motion Trajectories tracking. 1. 1 . (. Elhamifar. Zeev . Dvir. (Princeton). Shachar. Lovett (IAS). STOC 2012. Subspace evasive sets. is . (. k,c. ) subspace evasive. if for any k-dimensional linear subspace V, . Motivation. is . 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. 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. A Deterministic Result. 1. st. Annual Workshop on Data Science @. Tennessee . State University. 1. Problem Definition . (. Robust Subspace Clustering). input. output. white noise. outliers. m. issing entries. 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. 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.

Download Document

Here is the link to download the presentation.
"A minimal subspace rotation approach for extreme model reduction in fluid"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.