Adaptive Localized Reduced Basis Methods for Large Scale PDE-constrained Optimization
Keil, Tim; Ohlberger, Mario; Schindler, Felix
Research article in edited proceedings (conference) | Peer reviewedAbstract
In this contribution, we introduce and numerically evaluate a certified and adaptive localized reduced basis method as a local model in a trust-region optimization method for parameter optimization constrained by partial differential equations.
Details about the publication
Publisher: Lirkov, I; Margenov, S
Book title: Large-Scale Scientific Computations
Page range: 108-116
Publishing company: Springer Nature
Place of publication: Cham
Title of series: Lecture Notes in Computer Science
Volume of series: 13952
Status: Published
Release year: 2024
Language in which the publication is written: English
Conference: Large-Scale Scientific Computations 2023, Sozopol, Bulgaria
ISBN: 978-3-031-56208-2
Keywords: Localized model order reduction; PDE constrained optimization; trust region method; adaptive enrichment
Authors from the University of Münster
| Keil, Tim | Institute for Analysis and Numerics |
| Ohlberger, Mario | Professorship of Applied Mathematics, especially Numerics (Prof. Ohlberger) Center for Nonlinear Science Center for Multiscale Theory and Computation |
| Schindler, Felix Tobias | Professorship of Applied Mathematics, especially Numerics (Prof. Ohlberger) |