Karen Willcox

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Benjamin PeherstorferCourant Institute of Mathematical Sciences, New York UniversityPreverjeni e-poštni naslov na cims.nyu.edu
Douglas AllaireAssociate Professor, Texas A&M UniversityPreverjeni e-poštni naslov na tamu.edu
Omar GhattasProfessor & Cockrell endowed chair, Mechanical Engineering & Oden Institute, Univ of Texas at AustinPreverjeni e-poštni naslov na ices.utexas.edu
Boris KramerUniversity of California San DiegoPreverjeni e-poštni naslov na ucsd.edu
Anirban ChaudhuriOden Institute for Computational Engineering and Sciences, UT AustinPreverjeni e-poštni naslov na oden.utexas.edu
Jaume Peraire Jaime PeraireH.N. Slater Professor of Aeronautics and Astronautics, MITPreverjeni e-poštni naslov na mit.edu
Tan Bui-ThanhAssociate Professor. The Department of Aerospace Engineering and Engineering MechanicsPreverjeni e-poštni naslov na oden.utexas.edu
Michael G. KapteynPhD, Massachusetts Institute of TechnologyPreverjeni e-poštni naslov na mit.edu
Youssef MarzoukProfessor, Massachusetts Institute of TechnologyPreverjeni e-poštni naslov na mit.edu
Peter BennerMax Planck Institute for Dynamics of Complex Technical SystemsPreverjeni e-poštni naslov na mpi-magdeburg.mpg.de
Serkan GugercinClass of 1950 Professor of Mathematics, Virginia TechPreverjeni e-poštni naslov na vt.edu
Bart van Bloemen WaandersSandia National LaboratoriesPreverjeni e-poštni naslov na sandia.gov
Laura MaininiProfessor of Aerospace Computational Design, Imperial College LondonPreverjeni e-poštni naslov na imperial.ac.uk
Rémi LamDeepMindPreverjeni e-poštni naslov na deepmind.com
Murali DamodaranNational University of SingaporePreverjeni e-poštni naslov na nus.edu.sg
Max OpgenoordSenior Applied Scientist, AmazonPreverjeni e-poštni naslov na mit.edu
Tiangang CuiUniversity of SydneyPreverjeni e-poštni naslov na sydney.edu.au
Elizabeth QianGeorgia Institute of TechnologyPreverjeni e-poštni naslov na gatech.edu
Alexandre MarquesNeural MagicPreverjeni e-poštni naslov na neuralmagic.com
Luwen HuangUT AustinPreverjeni e-poštni naslov na austin.utexas.edu

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Karen Willcox

Oden Institute for Computational Engineering and Sciences, UT Austin

Preverjeni e-poštni naslov na oden.utexas.edu - Domača stran

model reduction multifidelity methods digital twin uncertainty quantification educational analytics


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
A SURVEY OF PROJECTION-BASED MODEL REDUCTION METHODS FOR PARAMETRIC DYNAMICAL SYSTEMS P BENNER, S GUGERCIN, K WILLCOX SIAM Review 57 (4), 483–531, 2015	2081	2015
Balanced model reduction via the proper orthogonal decomposition K Willcox, J Peraire AIAA Journal 40 (11), 2323-2330, 2002	1299	2002
Survey of multifidelity methods in uncertainty propagation, inference, and optimization B Peherstorfer, K Willcox, M Gunzburger SIAM Review 60 (3), 550-591, 2018	1147	2018
Aerodynamic data reconstruction and inverse design using proper orthogonal decomposition T Bui-Thanh, M Damodaran, KE Willcox AIAA Journal 42 (8), 1505-1516, 2004	594	2004
Missing point estimation in models described by proper orthogonal decomposition P Astrid, S Weiland, K Willcox, T Backx IEEE Transactions on Automatic Control 53 (10), 2237-2251, 2008	579	2008
Model Reduction and Approximation: Theory and Algorithms P Benner, M Ohlberger, A Cohen, K Willcox Society for Industrial and Applied Mathematics, 2017	576	2017
Unsteady flow sensing and estimation via the gappy proper orthogonal decomposition K Willcox Computers & fluids 35 (2), 208-226, 2006	518	2006
Model reduction for large-scale systems with high-dimensional parametric input space T Bui-Thanh, K Willcox, O Ghattas SIAM Journal on Scientific Computing 30 (6), 3270-3288, 2008	493	2008
Data-driven operator inference for nonintrusive projection-based model reduction B Peherstorfer, K Willcox Computer Methods in Applied Mechanics and Engineering 306, 196-215, 2016	468	2016
Projection-based model reduction: Formulations for physics-based machine learning R Swischuk, L Mainini, B Peherstorfer, K Willcox Computers & Fluids 179, 704-717, 2019	388	2019
Optimal model management for multifidelity Monte Carlo estimation B Peherstorfer, K Willcox, M Gunzburger SIAM Journal on Scientific Computing 38 (5), A3163-A3194, 2016	322	2016
Lift & Learn: Physics-informed machine learning for large-scale nonlinear dynamical systems E Qian, B Kramer, B Peherstorfer, K Willcox Physica D: Nonlinear Phenomena 406, 132401, 2020	317	2020
Parameter and state model reduction for large-scale statistical inverse problems C Lieberman, K Willcox, O Ghattas SIAM Journal on Scientific Computing 32 (5), 2523-2542, 2010	314	2010
Proper orthogonal decomposition extensions for parametric applications in compressible aerodynamics T Bui-Thanh, M Damodaran, K Willcox 21st AIAA Applied Aerodynamics Conference, 4213, 2003	314	2003
Proper orthogonal decomposition extensions for parametric applications in transonic aerodynamics T Bui-Thanh, M Damodaran, K Willcox 21th AIAA Applied Aerodynamics Conference, AIAA Paper 2003-4213, 2003	314*	2003
Surrogate-based optimization using multifidelity models with variable parameterization and corrected space mapping TD Robinson, MS Eldred, KE Willcox, R Haimes Aiaa Journal 46 (11), 2814-2822, 2008	295	2008
Non-linear model reduction for uncertainty quantification in large-scale inverse problems D Galbally, K Fidkowski, K Willcox, O Ghattas John Wiley & Sons, Ltd., 2010	293	2010
Localized discrete empirical interpolation method B Peherstorfer, D Butnaru, K Willcox, HJ Bungartz SIAM Journal on Scientific Computing 36 (1), A168-A192, 2014	290	2014
A probabilistic graphical model foundation for enabling predictive digital twins at scale MG Kapteyn, JVR Pretorius, KE Willcox Nature Computational Science 1 (5), 337-347, 2021	256	2021
Multifidelity approaches for optimization under uncertainty LWT Ng, KE Willcox International Journal for Numerical Methods in Engineering 100 (10), 746-772, 2014	251	2014

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