13 citations · 13 across the 3 of their papers we have counts for
7 papers
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…
Preserving general physical properties in model reduction of dynamical systems via constrained-optimization projection
A. Schein, K. T. Carlberg, M. J. Zahr
Model-reduction techniques aim to reduce the computational complexity of simulating dynamical systems by applying a (Petrov-)Galerkin projection process that enforces the dynamics…
Optimal Assistance for Object-Rearrangement Tasks in Augmented Reality
Benjamin Newman, Kevin Carlberg, Ruta Desai
Augmented-reality (AR) glasses that will have access to onboard sensors and an ability to display relevant information to the user present an opportunity to provide user assistance…
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…
Deep Conservation: A latent-dynamics model for exact satisfaction of physical conservation laws
Kookjin Lee, Kevin Carlberg
This work proposes an approach for latent-dynamics learning that exactly enforces physical conservation laws. The method comprises two steps. First, the method computes a low-dimen…
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…