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Karen Willcox
Karen Willcox
Oden Institute for Computational Engineering and Sciences, UT Austin
Zweryfikowany adres z oden.utexas.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
20552015
Balanced model reduction via the proper orthogonal decomposition
K Willcox, J Peraire
AIAA Journal 40 (11), 2323-2330, 2002
13012002
Survey of multifidelity methods in uncertainty propagation, inference, and optimization
B Peherstorfer, K Willcox, M Gunzburger
SIAM Review 60 (3), 550-591, 2018
11342018
Aerodynamic data reconstruction and inverse design using proper orthogonal decomposition
T Bui-Thanh, M Damodaran, KE Willcox
AIAA Journal 42 (8), 1505-1516, 2004
5942004
Model Reduction and Approximation: Theory and Algorithms
P Benner, M Ohlberger, A Cohen, K Willcox
Society for Industrial and Applied Mathematics, 2017
5742017
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
5702008
Unsteady flow sensing and estimation via the gappy proper orthogonal decomposition
K Willcox
Computers & fluids 35 (2), 208-226, 2006
5152006
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
4952008
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
4572016
Projection-based model reduction: Formulations for physics-based machine learning
R Swischuk, L Mainini, B Peherstorfer, K Willcox
Computers & Fluids 179, 704-717, 2019
3822019
Optimal model management for multifidelity Monte Carlo estimation
B Peherstorfer, K Willcox, M Gunzburger
SIAM Journal on Scientific Computing 38 (5), A3163-A3194, 2016
3202016
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
3162020
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
3162010
Proper orthogonal decomposition extensions for parametric applications in compressible aerodynamics
T Bui-Thanh, M Damodaran, K Willcox
21st AIAA Applied Aerodynamics Conference, 4213, 2003
3122003
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
312*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
2952008
Localized discrete empirical interpolation method
B Peherstorfer, D Butnaru, K Willcox, HJ Bungartz
SIAM Journal on Scientific Computing 36 (1), A168-A192, 2014
2912014
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
2892010
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
2522021
Multifidelity approaches for optimization under uncertainty
LWT Ng, KE Willcox
International Journal for Numerical Methods in Engineering 100 (10), 746-772, 2014
2492014
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