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Jonathan H. Tu
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Zitiert von
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On Dynamic Mode Decomposition: Theory and Applications
JH Tu, CW Rowley, DM Luchtenburg, SL Brunton, JN Kutz
Journal of Computational Dynamics 1 (2), 391--421, 2014
17732014
Variants of dynamic mode decomposition: boundary condition, Koopman, and Fourier Analyses
KK Chen, JH Tu, CW Rowley
Journal of Nonlinear Science 22 (6), 887--915, 2011
7762011
Compressed sensing and dynamic mode decomposition
SL Brunton, JL Proctor, JH Tu, JN Kutz
Journal of Computational Dynamics 2 (2), 2015
198*2015
Low-frequency dynamics in a shock-induced separated flow
S Priebe, JH Tu, CW Rowley, MP Martín
Journal of Fluid Mechanics 807, 441--477, 2016
1332016
Compressive sensing and low-rank libraries for classification of bifurcation regimes in nonlinear dynamical systems
SL Brunton, JH Tu, I Bright, JN Kutz
SIAM Journal on Applied Dynamical Systems, 2014 13 (4), 1716--1732, 2013
1302013
Spectral analysis of fluid flows using sub-Nyquist-rate PIV data
JH Tu, CW Rowley, JN Kutz, JK Shang
Experiments in Fluids 55 (9), 1805, 2014
1112014
Integration of non-time-resolved PIV and time-resolved velocity point sensors for dynamic estimation of velocity fields
JH Tu, J Griffin, A Hart, CW Rowley, LN Cattafesta, LS Ukeiley
Experiments in Fluids 54 (2), 1429, 2013
882013
Algorithm 945: modred---A Parallelized Model Reduction Library
BA Belson, JH Tu, CW Rowley
ACM Transactions on Mathematical Software 40 (4), 30, 2014
762014
An improved algorithm for balanced POD through an analytic treatment of impulse response tails
JH Tu, CW Rowley
Journal of Computational Physics 231 (16), 5317--5333, 2012
572012
Koopman spectral analysis of separated flow over a finite-thickness flat plate with elliptical leading edge
JH Tu, CW Rowley, E Aram, R Mittal
49th AIAA Aerospace Sciences Meeting and Exhibit, AIAA Paper 2011-38, 2011
392011
Control of a Canonical Separated Flow
J Griffin, M Oyarzun, LN Cattafesta III, JH Tu, CW Rowley, R Mittal
43rd AIAA Fluid Dynamics Conference, AIAA Paper 2013-2968, 2013
262013
Integration of non-time-resolved PIV and time-resolved velocity point sensors for dynamic estimation of time-resolved velocity fields
JH Tu, CW Rowley, J Griffin, LN Cattafesta III, A Hart, LS Ukeiley
50th AIAA Aerospace Sciences Meeting and Exhibit, AIAA Paper 2012-33, 2012
82012
Pulse Formation, Harmonic Mode-Locking, and Stability in Actively Mode-Locked Laser Cavities
JH Tu, JN Kutz
Quantum Electronics, IEEE Journal of 45 (3), 282--291, 2009
32009
Machine learning for classification of vortex patterns generated by pitching and plunging plates
JH Tu
APS Division of Fluid Dynamics 70th Annual Meeting, 2017
12017
Decoupling translational and rotational effects on the phase synchronization of rotating helices
JH Tu, M Arcak, MM Maharbiz
Physical Review E 91 (2), 023018, 2015
12015
Analysis of Local Flow Dynamics Using Koopman Modes
JH Tu, KK Chen, CW Rowley
APS Division of Fluid Dynamics 63th Annual Meeting 55, 2010
12010
Machine learning classification of stratified wakes using dynamic mode decomposition and decision trees
JH Tu, CY Ohh, G Spedding
APS Division of Fluid Dynamics 73rd Annual Meeting, 2020
2020
Machine learning model of flow interactions in large schools
KW Moored, JH Tu
APS Division of Fluid Dynamics 73rd Annual Meeting, 2020
2020
Sparse sensor placement for machine learning classification of pitching and plunging plates
JH Tu
APS Division of Fluid Dynamics 72nd Annual meeting, 2019
2019
A search for physical insight in machine learning classification of vortex patterns
JH Tu
SIAM Conference on Computational Science and Engineering, 2019
2019
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