A Rank-Minimization Approach to Learning Dynamical Systems from Frequency Response Data
Pawan Goyal
MPI Magdeburg
February 20, 2020
Automatic Generation of Minimal and Reduced Models for Structured Parametric Dynamical Systems
Igor Pontes Duff
Max Planck Institute for Dynamics of Complex Technical Systems
February 20, 2020
Model reduction for port-Hamiltonian differential-algebraic systems
Volker Mehrmann
TU Berlin
February 20, 2020
Data-driven Modeling and Optimization of Dissipative Dynamics
Christopher Beattie
Virginia Tech
February 20, 2020
Predictive data science for physical systems- From model reduction to scientific machine learning
Karen Willcox
UT Austin
February 20, 2020
A reduced basis method for parametrized variational inequalities applied to contact mechanics
Amina Benaceur
MIT
February 19, 2020
The Loewner Framework for Model Reduction of Flow Equations
Matthias Heinkenschloss
Rice University
February 18, 2020
Operator inference for non-intrusive model reduction of non-polynomial nonlinear systems
Boris Krämer
University of California San Diego
February 18, 2020