› Greedy Controllability of Reduced-Order Linear Dynamical Systems - Laura Iapichino, Eindhoven University of Technology (TU/e)
09:15-09:40 (25min)
› Balanced truncation model reduction for polynomial control systems - Igor Pontes Duff, Max Planck Institute for Dynamics of Complex Technical Systems
09:40-10:05 (25min)
› True error control for localized model reduction with online enrichment in PDE constrained optimization - Felix Schindler, University of Münster
10:05-10:30 (25min)
› Space–time least-squares Petrov–Galerkin projection for nonlinear model reduction - Kevin Carlberg, Sandia National Laboratories [Livermore]
14:00-14:25 (25min)
› Stabilised finite volume POD-Galerkin ROMs of the incompressible Navier-Stokes equations - Giovanni Stabile, International School for Advanced Studies
14:25-14:50 (25min)
› Beyond Petrov-Galerkin projection by using ``multi-space'' priors - Cédric Herzet, Institut National de Recherche en Informatique et en Automatique
14:50-15:15 (25min)
› Model reduction based on optimally stable variational formulations of parametrized transport equations - Julia Brunken, Applied Mathematics, University of Münster
15:15-15:40 (25min)
› Model Reduction for Hamilton-Jacobi-Bellman Equations resulting from Intraday Trading of Electricity - Silke Glas, Ulm University
15:40-15:45 (05min)
› Optimal Kernel-Based Dynamic Mode Decomposition - Patrick Héas, Institut National de Recherche en Informatique et en Automatique
15:40-15:45 (05min)
› Stochastic Galerkin reduced basis methods for parametrized elliptic PDEs with random data - Sebastian Ullmann, Graduate School of Computational Engineering, Technische Universität Darmstadt, Department of Mathematics, Technische Universität Darmstadt
15:40-15:45 (05min)
› Data-driven model reduction of descriptor linear systems in the Loewner framework - Ion Gosea, Data-Driven System Reduction and Identification Group, Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg
15:45-15:50 (05min)
› Model order reduction for parametrized nonlocal variational inequalities - Olena Burkovska, Department of Scientific Computing, Florida State University
15:45-15:50 (05min)
› Reduced basis methods for MREIT - Dominik Garmatter, Goethe-University Frankfurt am Main
15:45-15:50 (05min)
› A Geoscientific Application of the Certified Reduced Basis Method - Denise Degen, Computational Geosciences and Reservoir Engineering [RWTH Aachen University], Aachen Institute for Advanced Study in Computational Engineering Science [RWTH Aachen University]
15:50-15:55 (05min)
› On the Interpolation of Reduced Order Models -
15:50-15:55 (05min)
› Some Aspects of Systems Theory and Model Order Reduction for Nonlinear Systems - Maria Cruz Varona, Chair of Automatic Control, Technical University of Munich
15:50-15:55 (05min)
› A CFD supported Reduced Order Model using a goal-oriented domain restriction - Fabrizio Di Donfrancesco, ONERA - The French Aerospace Lab, Institu d'Alembert - UPMC
15:55-16:00 (05min)
› Computing the Hankel-Norm Approximation of Large-Scale Descriptor Systems - Steffen W. R. Werner, Max Planck Institute for Dynamics of Complex Technical Systems
15:55-16:00 (05min)
› Reduced-order model approximating the BGK model based on Proper Orthogonal Decomposition - Sébastien Riffaud, Inria Bordeaux - Sud-Ouest, Institut de Mathématiques de Bordeaux
15:55-16:00 (05min)
› Data-driven parameterized modeling of LTI systems with guaranteed stability - Stefano Grivet-Talocia, Politecnico di Torino
16:30-16:35 (05min)
› Reduced-order model assisted optimization of automotive structures with nonlinearities - Christopher Bach, BMW Group Research and Innovation Centre, Technische Universität München
16:30-16:35 (05min)
› PGD Variational vademecum for robot motion planning. A dynamic obstacle case - Nicolas Montes, University CEU Cardenal Herrera - Lucia Hilario, University CEU Cardenal Herrera
16:35-16:40 (05min)
› Shape Finding in Structural Optimization with Parametrically Reduced Finite-Element Models - Benjamin Fröhlich, Institute of Engineering and Computational Mechanics
16:35-16:40 (05min)
› A Reduced Order Modeling Approach for Reactor Physics Problems Using Locally Adaptive Sparse Grids - Fahad Alsayyari, Delft University of Technology
16:40-16:45 (05min)
› Clustering Model Order Reduction for Water Networks - Sara Grundel, Max Planck Institute for Dynamics of Complex Technical Systems
16:40-16:45 (05min)
› Geometrically nonlinear autonomous reduced order model for rotating structures - Mikel Balmaseda, ONERA, The French Aerospace Lab, Université de Lyon, CNRS INSA-Lyon, LaMCoS UMR5259
16:40-16:45 (05min)
› Model Order Reduction for convection dominated problems - Harshit Bansal, Department of Mathematics and Computer Science, Eindhoven University of Technology
16:45-16:50 (05min)
› Sampling-free parametric model reduction of systems with structured parameter variation - Zoran Tomljanovic, Department of Mathematics University of Osijek
16:45-16:50 (05min)
› Symplectic Model Reduction with respect to Energy Inner Product - Babak Maboudi Afkham, Computational Mathematics and Simulation Science
16:45-16:50 (05min)
› Adaptive POD-DEIM model reduction based on an improved error estimator - Sridhar Chellappa, Max Planck Institute for Dynamics of Complex Technical Systems
16:50-16:55 (05min)
› On the reducibility of linear dynamic systems with hybrid uncertainties - Lyes Nechak, Laboratoire de Tribologie et Dynamique des Systèmes
16:50-16:55 (05min)
› Towards real time computation of 3D magnetic field in parametrized Polyhelix magnets using a reduced basis Biot-Savart model -
16:50-16:55 (05min)
› Enhancing Hemodynamics Measurements with Mathematical Modeling - Felipe Galarce, Inria de Paris, Laboratoire Jacques-Louis Lions
16:55-17:00 (05min)
› Fast Solution of the Nonlinear Poisson-Boltzmann Equation using the Reduced Basis Method and Range-Separated Tensor Format - Cleophas Kweyu, Max Planck Institute for Dynamics of Complex Technical Systems
16:55-17:00 (05min)
› Faster A-posteriori Error Estimation for Second Order Mechanical Systems - Dennis Grunert, Institute of Engineering and Computational Mechanics, University of Stuttgart
16:55-17:00 (05min)
