672 citations · 1.4k across the 27 of their papers we have counts for
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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…
Domain-decomposition least-squares Petrov-Galerkin (DD-LSPG) nonlinear model reduction
Chi Hoang, Youngsoo Choi, Kevin Carlberg
A novel domain-decomposition least-squares Petrov-Galerkin (DD-LSPG) model-reduction method applicable to parameterized systems of nonlinear algebraic equations (e.g., arising from…
Pressio: Enabling projection-based model reduction for large-scale nonlinear dynamical systems
Francesco Rizzi, Patrick J. Blonigan, Eric J. Parish +1
This work introduces Pressio, an open-source project aimed at enabling leading-edge projection-based reduced order models (ROMs) for large-scale nonlinear dynamical systems in scie…