Clarence W. Rowley focuses on Dynamic mode decomposition, Algorithm, Nonlinear system, Mathematical analysis and Projection. His Dynamic mode decomposition research includes themes of Subspace topology and Applied mathematics. His Algorithm study combines topics from a wide range of disciplines, such as Range and Particle image velocimetry.
The concepts of his Nonlinear system study are interwoven with issues in Proper orthogonal decomposition, Linear system, Fourier transform and Linear map. His Linear map research includes elements of Flow, Operator theory and Series. His Mathematical analysis research is multidisciplinary, incorporating perspectives in Computation and Reynolds number.
Clarence W. Rowley spends much of his time researching Mechanics, Control theory, Dynamic mode decomposition, Flow and Nonlinear system. His research on Control theory often connects related areas such as Flow control. His work deals with themes such as Algorithm, Dynamical systems theory and Applied mathematics, which intersect with Dynamic mode decomposition.
Much of his study explores Flow relationship to Mathematical analysis. He interconnects Computation and Galerkin method in the investigation of issues within Mathematical analysis. His Nonlinear system study frequently draws connections to other fields, such as Linear map.
His primary scientific interests are in Mechanics, Dynamic mode decomposition, Nonlinear system, Flow and Algorithm. His Mechanics research is multidisciplinary, relying on both Amplitude, Separation and Thrust. His Dynamic mode decomposition study incorporates themes from Dynamical systems theory, Control theory, Chaotic and Applied mathematics.
His studies in Nonlinear system integrate themes in fields like Nonlinear dimensionality reduction, Autoencoder, Linear map and Greedy algorithm. His research integrates issues of Linear system and Mathematical analysis in his study of Flow. The study incorporates disciplines such as Range, Diagonal, Fluid dynamics and Linear algebra in addition to Algorithm.
Clarence W. Rowley mainly investigates Dynamic mode decomposition, Flow, Algorithm, Mechanics and Control theory. His studies deal with areas such as Subspace topology, Dynamical systems theory, Applied mathematics and Nonlinear system as well as Dynamic mode decomposition. His work in the fields of Nonlinear dynamical systems overlaps with other areas such as High dimensional systems.
The Flow study which covers Linear system that intersects with Linear map, Dimension, State and Computation. His work on Singular value decomposition as part of general Algorithm research is often related to Modal analysis and Eigensystem realization algorithm, thus linking different fields of science. His work carried out in the field of Mechanics brings together such families of science as Torque and Thrust.
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Spectral analysis of nonlinear flows
Clarence Rowley;Igor Mezic;Shervin Bagheri;Philipp Schlatter.
Journal of Fluid Mechanics (2009)
MODEL REDUCTION FOR FLUIDS, USING BALANCED PROPER ORTHOGONAL DECOMPOSITION
Clarence W. Rowley.
International Journal of Bifurcation and Chaos (2005)
On dynamic mode decomposition: Theory and applications
Jonathan H. Tu;Clarence Worth Rowley;Dirk M. Luchtenburg;Steven L. Brunton.
ACM Journal of Computer Documentation (2014)
A Data-Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition
Matthew O. Williams;Ioannis G. Kevrekidis;Clarence W. Rowley.
Journal of Nonlinear Science (2015)
Model reduction for compressible flows using POD and Galerkin projection
Clarence W. Rowley;Tim Colonius;Richard M. Murray.
Physica D: Nonlinear Phenomena (2004)
Modal Analysis of Fluid Flows: An Overview
Kunihiko Taira;Steven L. Brunton;Scott T. M. Dawson;Clarence W. Rowley.
AIAA Journal (2017)
Variants of Dynamic Mode Decomposition: Boundary Condition, Koopman, and Fourier Analyses
Kevin K. Chen;Jonathan H. Tu;Clarence W. Rowley.
Journal of Nonlinear Science (2012)
On self-sustained oscillations in two-dimensional compressible flow over rectangular cavities
Clarence Worth Rowley;Tim Colonius;Amit J. Basu.
Journal of Fluid Mechanics (2002)
Dynamics and control of high-reynolds-number flow over open cavities
Clarence Worth Rowley;David R. Williams.
Annual Review of Fluid Mechanics (2006)
Maximum Power Point Tracking for Photovoltaic Optimization Using Ripple-Based Extremum Seeking Control
Steven L Brunton;Clarence W Rowley;Sanjeev R Kulkarni;Charles Clarkson.
IEEE Transactions on Power Electronics (2010)
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