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Willcox, K.
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1

Antibody receptor signaling on spinal cord glial cells prom..:

Lacagnina, M.J. ; Willcox, K. ; Li, J....
Brain, Behavior, and Immunity.  98 (2021)  - p. 27-28 , 2021
Link: https://doi.org/10.1016/..
 
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2

Multifidelity Monte Carlo Estimation of Variance and Sensit..:

Qian, E. ; Peherstorfer, B. ; O'Malley, D...
SIAM/ASA Journal on Uncertainty Quantification.  6 (2018)  2 - p. 683-706 , 2018
Link: https://doi.org/10.1137/..
 
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3

An Accelerated Greedy Missing Point Estimation Procedure:

Zimmermann, R. ; Willcox, K.
SIAM Journal on Scientific Computing.  38 (2016)  5 - p. A2827-A2850 , 2016
Link: https://doi.org/10.1137/..
 
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4

Multifidelity DDDAS Methods with Application to a Self-awar..:

Allaire, D. ; Kordonowy, D. ; Lecerf, M...
Procedia Computer Science.  29 (2014)  - p. 1182-1192 , 2014
Link: https://doi.org/10.1016/..
 
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5

Model reduction for reacting flow applications:

Nguyen, V.B. ; Buffoni, M. ; Willcox, K..
International Journal of Computational Fluid Dynamics.  28 (2014)  3-4 - p. 91-105 , 2014
Link: https://doi.org/10.1080/..
 
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6

An Offline/Online DDDAS Capability for Self-Aware Aerospace..:

Allaire, D. ; Chambers, J. ; Cowlagi, R....
Procedia Computer Science.  18 (2013)  - p. 1959-1968 , 2013
Link: https://doi.org/10.1016/..
 
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7

Dynamic Data Driven Methods for Self-aware Aerospace Vehicl..:

Allaire, D. ; Biros, G. ; Chambers, J....
Procedia Computer Science.  9 (2012)  - p. 1206-1210 , 2012
Link: https://doi.org/10.1016/..
 
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8

Hessian‐based model reduction: large‐scale inversion and pr..:

Lieberman, C. ; Fidkowski, K. ; Willcox, K..
International Journal for Numerical Methods in Fluids.  71 (2012)  2 - p. 135-150 , 2012
Link: https://doi.org/10.1002/..
 
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9

Gradient-based multifidelity optimisation for aircraft desi..:

March, A. ; Willcox, K. ; Wang, Q.
The Aeronautical Journal.  115 (2011)  1174 - p. 729-738 , 2011
Link: https://doi.org/10.1017/..
 
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10

Non‐linear model reduction for uncertainty quantification i..:

Galbally, D. ; Fidkowski, K. ; Willcox, K..
International Journal for Numerical Methods in Engineering.  81 (2009)  12 - p. 1581-1608 , 2009
Link: https://doi.org/10.1002/..
 
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11

Model Reduction for Large-Scale Systems with High-Dimension..:

Bui-Thanh, T. ; Willcox, K. ; Ghattas, O.
SIAM Journal on Scientific Computing.  30 (2008)  6 - p. 3270-3288 , 2008
Link: https://doi.org/10.1137/..
 
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12

Real-time optimization using proper orthogonal decompositio..:

My-Ha, D. ; Lim, K.M. ; Khoo, B.C..
Computers & Fluids.  36 (2007)  3 - p. 499-512 , 2007
Link: https://doi.org/10.1016/..
 
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13

Hessian‐based model reduction for large‐scale systems with ..:

Bashir, O. ; Willcox, K. ; Ghattas, O...
International Journal for Numerical Methods in Engineering.  73 (2007)  6 - p. 844-868 , 2007
Link: https://doi.org/10.1002/..
 
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14

Goal-oriented, model-constrained optimization for reduction..:

Bui-Thanh, T. ; Willcox, K. ; Ghattas, O..
Journal of Computational Physics.  224 (2007)  2 - p. 880-896 , 2007
Link: https://doi.org/10.1016/..
 
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15

Unsteady flow sensing and estimation via the gappy proper o..:

Willcox, K.
Computers & Fluids.  35 (2006)  2 - p. 208-226 , 2006
Link: https://doi.org/10.1016/..
 
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