3 citations · 4 across the 2 of their papers we have counts for
4 papers · 1 filter
On the impact of dimensionally-consistent and physics-based inner products for POD-Galerkin and least-squares model reduction of compressible flows
Eric J Parish, Francesco Rizzi
Model reduction of the compressible Euler equations based on proper orthogonal decomposition (POD) and Galerkin orthogonality or least-squares residual minimization requires the se…
Windowed space-time least-squares Petrov-Galerkin method for nonlinear model order reduction
Yukiko S. Shimizu, Eric J. Parish
This work presents the windowed space-time least-squares Petrov-Galerkin method (WST-LSPG) for model reduction of nonlinear parameterized dynamical systems. WST-LSPG is a generaliz…
Windowed least-squares model reduction for dynamical systems
Eric J. Parish, Kevin T. Carlberg
This work proposes a windowed least-squares (WLS) approach for model-reduction of dynamical systems. The proposed approach sequentially minimizes the time-continuous full-order-mod…
Time-series machine-learning error models for approximate solutions to parameterized dynamical systems
Eric J. Parish, Kevin T. Carlberg
This work proposes a machine-learning framework for modeling the error incurred by approximate solutions to parameterized dynamical systems. In particular, we extend the machine-le…