13 citations · 13 across the 2 of their papers we have counts for
2 papers
physics.comp-ph2020
Nonlinear model reduction: a comparison between POD-Galerkin and POD-DEIM methods
Denis Sipp, Miguel Fosas de Pando, Peter J. Schmid
Several nonlinear model reduction techniques are compared for the three cases of the non-parallel version of the Kuramoto-Sivashinsky equation, the transient regime of flow past a…
physics.flu-dyn2020★ 13 cited
A gradient-based framework for maximizing mixing in binary fluids
Maximilian F. Eggl, Peter J. Schmid
A computational framework based on nonlinear direct-adjoint looping is presented for optimizing mixing strategies for binary fluid systems. The governing equations are the nonlinea…