105 citations · 177 across the 3 of their papers we have counts for
3 papers
Conservative model reduction for finite-volume models
Kevin Carlberg, Youngsoo Choi, Syuzanna Sargsyan
This work proposes a method for model reduction of finite-volume models that guarantees the resulting reduced-order model is conservative, thereby preserving the structure intrinsi…
Online interpolation point refinement for reduced order models using a genetic algorithm
Syuzanna Sargsyan, Steven L. Brunton, J. Nathan Kutz
A genetic algorithm procedure is demonstrated that refines the selection of interpolation points of the discrete empirical interpolation method (DEIM) when used for constructing re…
Nonlinear Model Reduction for Complex Systems using Sparse Optimal Sensor Locations from Learned Nonlinear Libraries
Syuzanna Sargsyan, Steven L. Brunton, J. Nathan Kutz
We demonstrate the synthesis of sparse sampling and machine learning to characterize and model complex, nonlinear dynamical systems over a range of bifurcation parameters. First, w…