MoRePaS 2018 - Model Reduction of Parametrized Systems IV

›8:30 (45min)

Plenary
Benjamin Peherstorfer (Chair: Anthony Patera)

8:30 - 9:15 (45min)

Plenary

Benjamin Peherstorfer (Chair: Anthony Patera)

› Data-Driven Multifidelity Methods for Monte Carlo Estimation - Benjamin Peherstorfer, University of Wisconsin Madison 08:30-09:15 (45min)

›9:15 (1h15)

Session 3
(Chair: Anthony Patera)

9:15 - 10:30 (1h15)

Session 3

(Chair: Anthony Patera)

› Data-Driven Filtered Reduced Order Modeling Of Nonlinear Systems - Traian Iliescu, Virginia Tech 09:15-09:40 (25min)

› Estimation of Risk Measures with Reduced-Order Models - Boris Kramer, Massachusetts Institute of Technology 09:40-10:05 (25min)

› Dimension reduction of the input parameter space of vector-valued functions - Olivier Zahm, Massachusetts Institute of Technology 10:05-10:30 (25min)

›10:30 (30min)

Coffee break

10:30 - 11:00 (30min)

Coffee break

›11:00 (45min)

Plenary
Olga Mula (Chair: Karen Willcox)

11:00 - 11:45 (45min)

Plenary

Olga Mula (Chair: Karen Willcox)

› State estimation with reduced models and measurement data - Olga Mula, Paris Dauphine University 11:00-11:45 (45min)

›11:45 (50min)

Session 4
(Chair: Karen Willcox)

11:45 - 12:35 (50min)

Session 4

(Chair: Karen Willcox)

› An adaptive Parameterized-Background Data-Weak Approach to state estimation - Tommaso Taddei, Université Pierre et Marie Curie 11:45-12:10 (25min)

› Data-driven probabilistic learning on manifolds - Christian Soize, Université Paris-Est 12:10-12:35 (25min)

›12:35 (1h25)

Lunch

12:35 - 14:00 (1h25)

Lunch

›14:00 (45min)

Plenary
Kathrin Smetana (Chair: Kevin Carlberg)

14:00 - 14:45 (45min)

Plenary

Kathrin Smetana (Chair: Kevin Carlberg)

› Randomized Model Order Reduction - Kathrin Smetana, Twente 14:00-14:45 (45min)

›14:45 (50min)

Session 5
(Chair: Kevin Carlberg)

14:45 - 15:35 (50min)

Session 5

(Chair: Kevin Carlberg)

› Random Sketching for Model Order Reduction - Oleg Balabanov, Centrale Nantes and Universitat Politècnica de Catalunya 14:45-15:10 (25min)

› Low-Rank Dynamic Mode Decomposition: Optimal Solution in Polynomial Time - Patrick Heas, INRIA (Institut National de Recherche en Informatique et en Automatique) 15:10-15:35 (25min)

›15:35 (25min)

Poster Blitz I.A
(Chair: Anthony Nouy)

15:35 - 16:00 (25min)

Poster Blitz I.A

(Chair: Anthony Nouy)

› A Reduced Basis Technique for Long-Time Unsteady Turbulent Flows - Tommaso Taddei, Université Pierre et Marie Curie 15:35-15:40 (05min)

› Goal-oriented proper generalized decomposition with application to the detection of delamination in composites - Kenan Kergrene, École Polytechnique de Montréal 15:35-15:40 (05min)

› Greedy measurement selection for state estimation with reduced models - James Nichols, Université Pierre et Marie Curie 15:35-15:40 (05min)

› Conservative model reduction for finite-volume models - Kevin Carlberg, Sandia National Laboratories [Livermore] 15:40-15:45 (05min)

› Directional hyper-reduced model for evaluation of residual welding stresses - Mickaël Abbas, EDF R&D, Institut des Sciences de la Mécanique et Applications Industrielles 15:40-15:45 (05min)

› POD-Galerkin reduced order methods for inverse problems and multi-physics problems in fluid dynamics - Francesco Ballarin, International School for Advanced Studies 15:40-15:45 (05min)

› Advances in Hierarchical Model Reduction and combination with other reduction methods - Matteo Zancanaro, International School for Advanced Studies 15:45-15:50 (05min)

› The effort of increasing Reynolds number in POD-Galerkin Reduced Order Methods: from laminar to turbulent flows - Shfqat Ali and Saddam Hijazi, International School for Advanced Studies 15:45-15:50 (05min)

› Towards a stable and fast dynamic skeletal muscle model - Mylena Mordhorst, University of Stuttgart 15:45-15:50 (05min)

› Principal component analysis and optimal weighted least-squares method for training tree tensor networks - Cécile Haberstich, Centrale Nantes, LMJL UMR 6629, Nantes, France 15:50-15:55 (05min)

› Reduced order methods for nonlinear parametric problems with branching solutions - Federico Pichi, International School for Advanced Studies 15:50-15:55 (05min)

› Statistical learning in tree-based tensor format - Erwan Grelier, Institut de Recherche en Génie Civil et Mécanique 15:50-15:55 (05min)

› A reduced order Kalman filter for CFD applications - Carolina Introini, Politecnico di Milano 15:55-16:00 (05min)

› Basis generation in optimal control problems - Alessandro Alla, Pontifícia Universidade Católica do Rio de Janeiro 15:55-16:00 (05min)

› Reduced Basis Solutions of Parametrized Optimal Control Problems with Non-Affine Source Terms - Zoi Tokoutsi, Aachen Institute for Advanced Study in Computational Engineering Science, Philips Research Eindhoven 15:55-16:00 (05min)

›16:00 (30min)

GROUP PHOTO & Coffee break

16:00 - 16:30 (30min)

GROUP PHOTO & Coffee break

›16:30 (25min)

Session 5
(Chair: Wil Schilders)

16:30 - 16:55 (25min)

Session 5

(Chair: Wil Schilders)

› Accelerating Implicit Integrators for Parametric ODE Systems by Greedy Kernel Approximation - Bernard Haasdonk, University of Stuttgart 16:30-16:55 (25min)

›16:55 (35min)

Poster Blitz I.B
(Chair: Wil Schilders)

16:55 - 17:30 (35min)

Poster Blitz I.B

(Chair: Wil Schilders)

› Fast Estimation of Blood Vessel Cooling Effects in Hepatic Radio-Frequency Ablation using the Reduced Basis Method - Nikhil Vaidya, Rheinisch-Westfälische Technische Hochschule Aachen, Philips Research [Nederlands] 16:55-17:00 (05min)

› Parameter space and model reduction with shape parametrization, by means of active subspace and POD-Galerkin methods for industrial and biomedical applications - Marco Tezzele, International School for Advanced Studies 16:55-17:00 (05min)

› Efficient Therapy Planning via Model Reduction for Laser-Induced Interstitial Thermotherapy - Kevin Tolle, Friedrich-Alexander Universität [Erlangen-Nürnberg], Universität Trier 17:00-17:05 (05min)

› Localized Reduced Basis Methods for Time Harmonic Maxwell's Equations - Andreas Buhr, University of Münster 17:00-17:05 (05min)

› Biogeochemical Oceanographic Data Assimilation: Dimensionality Reduced Kalman Filter for Mediterranean Sea Forecasting - Simone Spada, University of Trieste 17:05-17:10 (05min)

› Dynamical low rank approximation of random time dependent PDEs - Eva Vidlickova, Ecole Polytechnique Fédérale de Lausanne 17:05-17:10 (05min)

› Reduced Models for Uncertainty Quantification in the Cardiovascular Network via Domain Decomposition - Sofia Guzzetti, Department of Mathematics and Computer Science [Emory University] 17:05-17:10 (05min)

› A progressive reduced basis/empirical interpolation method for nonlinear parabolic problems - Amina BENACEUR, ENPC - CERMICS, EDF R&D 17:10-17:15 (05min)

› An efficient algorithm for Pade'-type approximation of the frequency response for the Helmholtz problem - Davide Pradovera, Ecole Polytechnique Fédérale de Lausanne 17:10-17:15 (05min)

› Multi space reduced basis preconditioners for large-scale parametrized PDEs - Niccolò Dal Santo, CMCS-EPFL 17:10-17:15 (05min)

› Certified POD-Based Multiobjective Optimal Control of Time-Variant Heat Phenomena - Stefan Banholzer, Department of Mathematics and Statistics, University of Konstanz 17:15-17:20 (05min)

› Singular Value Decomposition on Intersection Spaces - Mazen Ali, Ulm University 17:15-17:20 (05min)

› A Hierarchical a-posteriori error estimator for the reduced basis method - Stefan Hain, Institute for Numerical Mathematics, Ulm University - Mladjan Radic, Institute for Numerical Mathematics, Ulm University 17:20-17:25 (05min)

› Combining POD Model Order Reduction with Adaptivity - Carmen Gräßle, University Hamburg 17:20-17:25 (05min)

› Parametric Model Order Reduction for Gas Flow Models - Christian Himpe, Max Planck Institute for Dynamics of Complex Technical Systems 17:20-17:25 (05min)

› Parametric model order reduction for large-scale and complex systems using Krylov subspace methods - Daming Lou, Department of Electrical Engineering, Eindhoven University of Technology - Siep Weiland, Department of Electrical Engineering, Eindhoven University of Technology 17:25-17:30 (05min)

› Parametric space-frequency reduction for second-order system models - Frank Naets, KU Leuven [Leuven], Member of Flanders Make 17:25-17:30 (05min)

› Parametric state-time reduction for the transient analysis of multi-physical systems - Ward Rottiers, Department of Mechanical Engineering, KU Leuven, Member of Flanders Make 17:25-17:30 (05min)

›17:30 (1h)

Poster session

17:30 - 18:30 (1h)

Poster session

›18:30 (1h)

Cocktail

18:30 - 19:30 (1h)

Cocktail