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
5 Computational bottlenecks for PROMs: precomputation and hyperreduction - MaRDI portal

5 Computational bottlenecks for PROMs: precomputation and hyperreduction

From MaRDI portal
Publication:4992991

DOI10.1515/9783110671490-005zbMath1483.65154OpenAlexW4248523093MaRDI QIDQ4992991

Sebastian Grimberg, Andrea Manzoni, Charbel Farhat, Alfio M. Quarteroni

Publication date: 15 June 2021

Published in: Snapshot-Based Methods and Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/9783110671490-005




Related Items (17)

Reduced order model of standard \(k\)-\(\epsilon\) turbulence modelPiecewise-Global Nonlinear Model Order Reduction for PDE-Constrained Optimization in High-Dimensional Parameter SpacesRobust and globally efficient reduction of parametric, highly nonlinear computational models and real time online performanceEfficient and certified solution of parametrized one-way coupled problems through DEIM-based data projection across non-conforming interfacesA data-driven surrogate modeling approach for time-dependent incompressible Navier-Stokes equations with dynamic mode decomposition and manifold interpolationNeural-network-augmented projection-based model order reduction for mitigating the Kolmogorov barrier to reducibilityStabilization of generalized empirical interpolation method (GEIM) in presence of noise: a novel approach based on Tikhonov regularizationA one-shot overlapping Schwarz method for component-based model reduction: application to nonlinear elasticityReprint of: Robust and globally efficient reduction of parametric, highly nonlinear computational models and real time online performanceProbabilistic-learning-based stochastic surrogate model from small incomplete datasets for nonlinear dynamical systemsProjection-based reduced order models for parameterized nonlinear time-dependent problems arising in cardiac mechanicsA reduced order model for domain decompositions with non-conforming interfacesRegistration-based model reduction of parameterized PDEs with spatio-parameter adaptivityA discretize-then-map approach for the treatment of parameterized geometries in model order reductionPOD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decompositionStabilized reduced-order models for unsteady incompressible flows in three-dimensional parametrized domainsDeep-HyROMnet: a deep learning-based operator approximation for hyper-reduction of nonlinear parametrized PDEs




This page was built for publication: 5 Computational bottlenecks for PROMs: precomputation and hyperreduction