Adaptive Localized Reduced Basis Methods for Large Scale PDE-constrained Optimization

Keil, Tim; Ohlberger, Mario; Schindler, Felix

Research article in edited proceedings (conference) | Peer reviewed

Abstract

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

EditorsLirkov, I; Margenov, S
Book titleLarge-Scale Scientific Computations
Page range108-116
PublisherSpringer Nature
Place of publicationCham
Title of seriesLecture Notes in Computer Science
Volume of series13952
StatusPublished
Release year2024
Language in which the publication is writtenEnglish
ConferenceLarge-Scale Scientific Computations 2023, Sozopol, Bulgaria
ISBN978-3-031-56208-2
KeywordsLocalized model order reduction; PDE constrained optimization; trust region method; adaptive enrichment

Authors from the University of Münster

Keil, Tim
Ohlberger, Mario
Schindler, Felix Tobias