Exploiting sparsity and equation-free architectures in complex systems

By Joshua L. Proctor, Steven L. Brunton, Bingni W. Brunton, J. Nathan Kutz. 2014

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Steven L. Brunton
2. J. Nathan Kutz
3. Krithika Manohar
4. Joshua L. Proctor
5. Bingni W. Brunton
6. Maizar Raissi
7. Eurika Kaiser
8. Igor Mezi'c

Citations in the corpus

• Discovering governing equations from data by sparse identification of nonlinear dynamical systems (2015, background): “The trend to exploit sparsity in dynamical systems is recent but growing [24, 25, 26, 27, 28, 29, 30].”
• Data-Driven Sparse Sensor Placement for Reconstruction: Demonstrating the Benefits of Exploiting Known Patterns (2017, methodology): “Recently, compressed sensing, sparsity-promoting algorithms such as the lasso regression [35], [36], [37], and machine learning have been increasingly applied to characterize and control dynamical systems [38], [39], [40], [41], [42], [43], [44], [45], [46], [47].”