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Karen Willcox
Karen Willcox
Oden Institute for Computational Engineering and Sciences, UT Austin
Verified email at oden.utexas.edu - Homepage
Title
Cited by
Cited by
Year
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
12302015
Balanced model reduction via the proper orthogonal decomposition
K Willcox, J Peraire
AIAA Journal 40 (11), 2323-2330, 2002
10812002
Survey of multifidelity methods in uncertainty propagation, inference, and optimization
B Peherstorfer, K Willcox, M Gunzburger
SIAM Review 60 (3), 550-591, 2018
6092018
Aerodynamic data reconstruction and inverse design using proper orthogonal decomposition
T Bui-Thanh, M Damodaran, KE Willcox
AIAA Journal 42 (8), 1505-1516, 2004
4722004
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
4482008
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
3962008
Unsteady flow sensing and estimation via the gappy proper orthogonal decomposition
K Willcox
Computers & fluids 35 (2), 208-226, 2006
3652006
Model Reduction and Approximation: Theory and Algorithms
P Benner, M Ohlberger, A Cohen, K Willcox
Society for Industrial and Applied Mathematics, 2017
3292017
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
2522010
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
2452008
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
237*2003
Proper orthogonal decomposition extensions for parametric applications in compressible aerodynamics
T Bui-Thanh, M Damodaran, K Willcox
21st AIAA Applied Aerodynamics Conference, 4213, 2003
2362003
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
2352010
Goal-oriented, model-constrained optimization for reduction of large-scale systems
T Bui-Thanh, K Willcox, O Ghattas, B van Bloemen Waanders
Journal of Computational Physics 224 (2), 880-896, 2007
2182007
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
2122016
Localized discrete empirical interpolation method
B Peherstorfer, D Butnaru, K Willcox, HJ Bungartz
SIAM Journal on Scientific Computing 36 (1), A168-A192, 2014
2122014
Projection-based model reduction: Formulations for physics-based machine learning
R Swischuk, L Mainini, B Peherstorfer, K Willcox
Computers & Fluids 179, 704-717, 2019
2032019
Optimal model management for multifidelity Monte Carlo estimation
B Peherstorfer, K Willcox, M Gunzburger
SIAM Journal on Scientific Computing 38 (5), A3163-A3194, 2016
1772016
Large-scale inverse problems and quantification of uncertainty
L Biegler, G Biros, O Ghattas, M Heinkenschloss, D Keyes, B Mallick, ...
John Wiley & Sons, 2011
1682011
Parametric reduced-order models for probabilistic analysis of unsteady aerodynamic applications
T Bui-Thanh, K Willcox, O Ghattas
AIAA Journal 46 (10), 2520-2529, 2008
1622008
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