Kevin Carlberg

发表

Galerkin v. least-squares Petrov-Galerkin projection in nonlinear model reduction

Harbir Antil, Kevin Carlberg, Matthew B. Jones, 2015, J. Comput. Phys..

Model reduction for hypersonic aerodynamics via conservative LSPG projection and hyper-reduction

Jeffrey A. Fike, Kevin Carlberg, Francesco Rizzi, 2020 .

Corrigendum to "The GNAT method for nonlinear model reduction: Effective implementation and application to computational fluid dynamics and turbulent flows" [J. Comput. Physics 242 (2013) 623-647]

Charbel Farhat, David Amsallem, Kevin Carlberg, 2013, J. Comput. Phys..

The network uncertainty quantification method for propagating uncertainties in component-based systems pdf

Khachik Sargsyan, Kevin Carlberg, Sofia Guzzetti, 2019, ArXiv.

Krylov-Subspace Recycling via the POD-Augmented Conjugate-Gradient Method

Kevin Carlberg, Ray S. Tuminaro, Virginia Forstall, 2015, SIAM J. Matrix Anal. Appl..

Error modeling for surrogates of dynamical systems using machine learning

Louis J. Durlofsky, Kevin Carlberg, Sumeet Trehan, 2017 .

Space-time least-squares Petrov-Galerkin projection for nonlinear model reduction

Youngsoo Choi, Kevin Carlberg, Youngsoo Choi, 2017, SIAM J. Sci. Comput..

Krylov-subspace recycling via the POD-augmented conjugate-gradient algorithm

Kevin Carlberg, Ray S. Tuminaro, Virginia Forstall, 2015 .

Statistical closure modeling for reduced-order models of stationary systems by the ROMES method pdf

Andrea Manzoni, Kevin Carlberg, Stefano Pagani, 2019, International Journal for Uncertainty Quantification.

The GNAT method for nonlinear model reduction: Effective implementation and application to computational fluid dynamics and turbulent flows

Charbel Farhat, David Amsallem, Kevin Carlberg, 2012, J. Comput. Phys..

Galerkin v. discrete-optimal projection in nonlinear model reduction pdf

Harbir Antil, Matthew F. Barone, Kevin Carlberg, 2015, ArXiv.

On-line Generation and Error Handling for Surrogate Models within Multifidelity Uncertainty Quantification.

Gianluca Geraci, Michael S. Eldred, Kevin Carlberg, 2019 .

Stochastic Least-Squares Petrov-Galerkin Method for Parameterized Linear Systems

Kookjin Lee, Howard C. Elman, Kevin Carlberg, 2017, SIAM/ASA J. Uncertain. Quantification.

Error estimation for surrogate models of dynamical systems using machine learning pdf

Louis J. Durlofsky, Kevin Carlberg, Sumeet Trehan, 2017, ArXiv.

Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders

Kookjin Lee, Kevin Carlberg, K. Carlberg, 2018, J. Comput. Phys..

Data-driven time parallelism via forecasting pdf

Bernard Haasdonk, Andrea Barth, Kevin Carlberg, 2016, SIAM J. Sci. Comput..

Adaptive h‐refinement for reduced‐order models pdf

Kevin Carlberg, K. Carlberg, 2014, ArXiv.

Decreasing the temporal complexity for nonlinear, implicit reduced-order models by forecasting

Kevin Carlberg, Jaideep Ray, Bart van Bloemen Waanders, 2012, 1209.5455.

Breaking Computational Barriers: Real-time Analysis and Optimization with Large-scale Nonlinear Models via Model Reduction

Paul T. Boggs, Kevin Carlberg, Raymond S. Tuminaro, 2014 .

Augmented Quadratures for the Discrete Ordinates Method Using Reduced Order Modeling Approaches.

Kevin Carlberg, Roy E. Hogan, John Tencer, 2016 .

The ROMES method for statistical modeling of reduced-order-model error

Kevin Carlberg, Martin Drohmann, K. Carlberg, 2014, SIAM/ASA J. Uncertain. Quantification.

Optimal Assistance for Object-Rearrangement Tasks in Augmented Reality pdf

Benjamin Newman, Ruta Desai, Kevin Carlberg, 2020, ArXiv.

Propagating uncertainties in large-scale hemodynamics models via network uncertainty quantification and reduced-order modeling

Alessandro Veneziani, Kevin Carlberg, Sofia Guzzetti, 2020 .

Preserving Lagrangian Structure in Nonlinear Model Reduction with Application to Structural Dynamics

Paul T. Boggs, Kevin Carlberg, Ray S. Tuminaro, 2014, SIAM J. Sci. Comput..

Domain-decomposition least-squares Petrov-Galerkin (DD-LSPG) nonlinear model reduction pdf

Youngsoo Choi, Kevin Carlberg, Chi Hoang, 2020, ArXiv.

ROM-ES: Uncertainty Quantification of Reduced Order Model Errors.

Kevin Carlberg, Martin Drohmann, 2013 .

Conservative model reduction for finite-volume models

Youngsoo Choi, Kevin Carlberg, Syuzanna Sargsyan, 2017, J. Comput. Phys..

Model reduction for the material point method via learning the deformation map and its spatial-temporal gradients pdf

Eitan Grinspun, Kevin Carlberg, Maurizio Chiaramonte, 2021, ArXiv.

Deep Conservation: A Latent-Dynamics Model for Exact Satisfaction of Physical Conservation Laws

Kookjin Lee, Kevin Carlberg, K. Carlberg, 2019, AAAI.

Model Reduction for the Material Point Method on Nonlinear Manifolds Using Deep Learning

Eitan Grinspun, Kevin Carlberg, Maurizio Chiaramonte, 2021, AAAI Spring Symposium: MLPS.

Efficient structure-preserving model reduction for nonlinear mechanical systems with application to structural dynamics.

Paul T. Boggs, Kevin Carlberg, Raymond S. Tuminaro, 2012 .

A Compact Proper Orthogonal Decomposition Basis for Optimization-Oriented Reduced-Order Models

Charbel Farhat, Kevin Carlberg, C. Farhat, 2008 .

A method for interpolating on manifolds structural dynamics reduced‐order models

Charbel Farhat, David Amsallem, Kevin Carlberg, 2009 .

An Adaptive POD-Krylov Reduced-Order Model for Structural Optimization

Charbel Farhat, Kevin Carlberg, C. Farhat, 2009 .