13 citations · 13 across the 3 of their papers we have counts for
4 papers · 1 filter
Preconditioned Least-Squares Petrov-Galerkin Reduced Order Models
Payton Lindsay, Jeffrey Fike, Irina Tezaur +1
This paper introduces a methodology for improving the accuracy and efficiency of reduced order models (ROMs) constructed using the least-squares Petrov-Galerkin (LSPG) projection m…
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…
The network uncertainty quantification method for propagating uncertainties in component-based systems
Kevin Carlberg, Sofia Guzzetti, Mohammad Khalil +1
This work introduces the network uncertainty quantification (NetUQ) method for performing uncertainty propagation in systems composed of interconnected components. The method assum…
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…