Kevin Carlberg

Talks (selected)

  • K. Carlberg, “Breaking computational barriers: Using data to enable extreme-scale simulations for many-query problems,” Star Talk seminar series, Stanford University, Stanford, California, May 22, 2017. (slides)
  • K. Carlberg, “Reducing nonlinear dynamical systems via model reduction and machine learning,” USACM Workshop on Uncertainty Quantification and Data-Driven Modeling, Austin, Texas, March 23–24, 2017. (slides)
  • K. Carlberg, Y. Choi, S. Sargsyan, “Structure-preserving nonlinear model reduction for finite-volume models,” SIAM Conference on Computational Science and Engineering, Atlanta, Georgia, February 27–March 3, 2017. (slides)
  • K. Carlberg, L. Brencher, B. Haasdonk, A. Barth, “Data-driven time parallelism and model reduction,” SIAM Conference on Uncertainty Quantification, Lausanne, Switzerland, April 5–April 8, 2016. (slides) (video presentation)
  • K. Carlberg, “Nonlinear model reduction: discrete optimality, h-adaptivity, and error surrogates,” Data-driven Model Order Reduction and Machine Learning, Stuttgart, Germany, April 1, 2016. (slides)
  • K. Carlberg, V. Forstall, R. Tuminaro, “Applying model reduction to Krylov-subspace recycling: the POD-augmented conjugate-gradient method,” 14th Copper Mountain Conference on Iterative Methods, Copper Mountain, Colorado, March 24, 2016. (slides) (video presentation)
  • K. Carlberg, M. Barone, H. Antil, “Discrete optimality in nonlinear model reduction: analysis and application to CFD,” 1st Pan-American Congress on Computational Mechanics, Buenos Aires, Argentina, April 27, 2016. (slides) (video presentation)
  • K. Carlberg, “Modeling and controlling reduced-order-model uncertainty in data assimilation,” School of Earth Sciences seminar, Stanford, CA, November 19, 2014. (slides)
  • K. Carlberg, “Adaptive h-refinement for reduced-order models with application to uncertainty control,” SIAM Conference on Uncertainty Quantification, Savannah, GA, March 31–April 3, 2014. (slides) (video presentation)
  • M. Drohmann and K. Carlberg, “The ROMES method for reduced-order-model uncertainty quantification: application to data assimilation,” Workshop on Model Order Reduction and Data, Paris, France, January 6–8, 2014. (slides) (video presentation)
  • K. Carlberg, C. Farhat, J. Cortial, and D. Amsallem, “The GNAT nonlinear model-reduction method with application to large-scale turbulent flows,” Fourth International Workshop on Model Reduction in Reacting Flows (IWMRRF), San Francisco, CA, June 19–21, 2013. (extended abstract)
  • K. Carlberg, C. Farhat, J. Cortial, and D. Amsallem, “Discrete-optimal nonlinear model reduction by the GNAT method,” ACDL Seminar, MIT, Boston, MA, April 17, 2013. (slides)
  • K. Carlberg, R. Tuminaro, and P. Boggs, “Preserving Lagrangian Structure in Nonlinear Model Reduction,” 2013 SIAM Conference on Computational Science and Engineering, Boston, MA, February 25–March 1, 2013. (slides)
  • K. Carlberg, J. Ray, and B. van Bloemen Waanders, “A forecasting method for decreasing the temporal complexity in implicit, nonlinear model reduction ,” MoRePaS II Günzburg, Germany, July 8–13, 2012. (slides)
  • K. Carlberg, C. Farhat, J. Cortial, and D. Amsallem, “The GNAT method for nonlinear model reduction: recent developments and application to large-scale models,” 10th World Congress on Computational Mechanics, São Paulo, Brazil, July 8–13, 2012. (slides)
  • K. Carlberg, J. Ray, and B. van Bloemen Waanders, “Decreasing the temporal complexity in nonlinear model reduction,” 2012 SIAM Conference on Uncertainty Quantification, Raleigh, NC, April 2–5, 2012.
  • K. Carlberg and C. Farhat, “The Gauss–Newton with approximated tensors (GNAT) method for nonlinear model reduction,” SUPRI-B Group Seminar, Stanford University, Stanford, CA, June 1, 2011.
  • K. Carlberg, D. Amsallem, J. Cortial, C. Bou-Mosleh, and C. Farhat. “Efficient Model Reduction of Large-Scale Nonlinear Systems in Fluid Dynamics,” 2011 SIAM Conference on Computational Science and Engineering, Reno, NV, February 28–March 4, 2011.
  • K. Carlberg and C. Farhat. “Model reduction-based iterative methods for real-time simulation and repeated analyses of mathematical models,” Linear Algebra and Optimization Seminar, Stanford, CA, October 28, 2010. (slides)
  • K. Carlberg and C. Farhat. “Nonlinear Model Reduction Using Petrov-Galerkin Projection and Data Reconstruction,” 2010 SIAM Annual Meeting, Pittsburgh, PA, July 12–16, 2010. (slides)
  • C. Farhat and K. Carlberg. “Nonlinear Model Reduction via Petrov-Galerkin Projection and Compressive Tensor-Product Approximation,” IV European Conference on Computational Mechanics, Palais des Congres, Paris, France, May 16–21, 2010.
  • K. Carlberg and C. Farhat. “A Proper Orthogonal Decomposition-Based Augmented Conjugate Gradient Algorithm for Nearby Problems,” 2009 SIAM Annual Meeting, Denver, CO, July 6–10, 2009. (slides)
  • K. Carlberg and C. Farhat. “An Adaptive POD-Krylov Reduced-Order Modeling Framework for Repeated Analyses Problems,” 2009 Joint ASCE-ASME-SES Conference on Mechanics and Materials, Blacksburg, VA, June 24–27, 2009. (slides)
  • K. Carlberg and C. Farhat. “A POD-Based Iterative Solver for Fast Structural Optimization,” Seoul National University–Stanford University Student Joint Workshop, Stanford University, June 18, 2009. (slides)