A two-stage surrogate model for Neo-Hookean problems based on adaptive proper orthogonal decomposition and hierarchical tensor approximation-Reference-Cited by-同舟云学术

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A two-stage surrogate model for Neo-Hookean problems based on adaptive proper orthogonal decomposition and hierarchical tensor approximation

Published:2020-12 Issue: Volume:372 Page:113368
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Kastian Steffen,Moser Dieter,Grasedyck Lars,Reese Stefanie

Funder

Deutsche Forschungs-Gemeinschaft

Publisher

Elsevier BV

Subject

Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Reference76 articles.

1. A POD-selective inverse distance weighting method for fast parametrized shape morphing;Ballarin;Internat. J. Numer. Methods Engrg.,2019

2. POD-Galerkin approximations in PDE-constrained optimization;Sachs;GAMM-Mitt.,2010

3. Proper orthogonal decomposition for optimality systems;Kunisch;ESAIM Math. Model. Numer. Anal.,2008

4. An adaptive way of choosing significant snapshots for the proper orthogonal decomposition;Kastian,2020

5. A short review on model order reduction based on proper generalized decomposition;Chinesta;Arch. Comput. Methods Eng.,2011

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