2 papers
physics.comp-ph2018
Interplay of Sensor Quantity, Placement and System Dimensionality on Energy Sparse Reconstruction of Fluid Flows
Chen Lu, Balaji Jayaraman
Reconstruction of fine-scale information from sparse data is relevant to many practical fluid dynamic applications where the sensing is typically sparse. Fluid flows in an ideal se…
physics.flu-dyn2018
Sparse Convolution-based Markov Models for Nonlinear Fluid Flows
Chen Lu, Balaji Jayaraman, Joshua Whitman +1
Data-driven modeling for nonlinear fluid flows using sparse convolution-based mapping into a feature space where the dynamics are Markov linear is explored in this article. The und…