Accelerating the Computation of Empirical Gramians and Related Methods
Himpe C, Ohlberger M
Abstract in digital collection (conference)Abstract
Empirical gramians are a tool for nonlinear model reduction. Together with other snapshot-based methods, empirical gramians face several computational issues; among them is the calculation of the snapshots or the feature extraction from the associated gramian matrices. We present an assortment of techniques to accelerate the computation and usage of empirical gramians and demonstrate their advantages.
Details about the publication
Status: Published
Release year: 2015
Language in which the publication is written: English
Conference: 5th International Workshop on Model Reduction in Reacting Flows, Spreewald
DOI: 10.5281/zenodo.46643
Keywords: empirical gramians
Authors from the University of Münster
| Himpe, Christian | Professorship of Applied Mathematics, especially Numerics (Prof. Ohlberger) |
| Ohlberger, Mario | Professorship of Applied Mathematics, especially Numerics (Prof. Ohlberger) Center for Nonlinear Science Center for Multiscale Theory and Computation (CMTC) |
Promotionen, aus denen die Publikation resultiert
| Combined State and Parameter Reduction for Nonlinear Systems with an Application in Neuroscience Candidate: Himpe, Christian | Supervisors: Ohlberger, Mario Period of time: until 20/06/2016 Doctoral examination procedure finished at: Doctoral examination procedure at University of Münster |