Deprecated: $wgMWOAuthSharedUserIDs=false is deprecated, set $wgMWOAuthSharedUserIDs=true, $wgMWOAuthSharedUserSource='local' instead [Called from MediaWiki\HookContainer\HookContainer::run in /var/www/html/w/includes/HookContainer/HookContainer.php at line 135] in /var/www/html/w/includes/Debug/MWDebug.php on line 372
POD reduced-order modeling for evolution equations utilizing arbitrary finite element discretizations - MaRDI portal

POD reduced-order modeling for evolution equations utilizing arbitrary finite element discretizations

From MaRDI portal
Publication:1756929

DOI10.1007/s10444-018-9620-xzbMath1404.65264arXiv1701.05054OpenAlexW2582992792WikidataQ129618491 ScholiaQ129618491MaRDI QIDQ1756929

Carmen Gräßle, Michael Hinze

Publication date: 28 December 2018

Published in: Advances in Computational Mathematics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1701.05054




Related Items

Wavelet adaptive proper orthogonal decomposition for large-scale flow dataEfficient Model Predictive Control for Parabolic PDEs with Goal Oriented Error EstimationSimulation and Control of a Nonsmooth Cahn–Hilliard Navier–Stokes System with Variable Fluid DensitiesA New Certified Hierarchical and Adaptive RB-ML-ROM Surrogate Model for Parametrized PDEsPOD-based reduced order model for the prediction of global and local elastic responses of fibre-reinforced polymer considering varying fibre distributionAn incremental singular value decomposition approach for large-scale spatially parallel \& distributed but temporally serial data -- applied to technical flowsTwo-grid based adaptive proper orthogonal decomposition method for time dependent partial differential equationsRational-approximation-based model order reduction of Helmholtz frequency response problems with adaptive finite element snapshotsMini-workshop: Mathematics of dissipation -- dynamics, data and control. Abstracts from the mini-workshop held May 9--15, 2021 (hybrid meeting)New Proper Orthogonal Decomposition Approximation Theory for PDE Solution DataA hyper-reduction method using adaptivity to cut the assembly costs of reduced order modelsPOD model order reduction with space-adapted snapshots for incompressible flowsA learning-based projection method for model order reduction of transport problemsError Estimates for a POD Method for Solving Viscous G-Equations in Incompressible Cellular FlowsOn a nonlocal Cahn–Hilliard model permitting sharp interfaces


Uses Software


Cites Work