Numerical homogenization beyond scale separation

R Altmann, P Henning, D Peterseim - Acta Numerica, 2021 - cambridge.org
Numerical homogenization is a methodology for the computational solution of multiscale
partial differential equations. It aims at reducing complex large-scale problems to simplified …

Super-localization of elliptic multiscale problems

M Hauck, D Peterseim - Mathematics of Computation, 2023 - ams.org
Numerical homogenization aims to efficiently and accurately approximate the solution space
of an elliptic partial differential operator with arbitrarily rough coefficients in a $ d …

[HTML][HTML] An overlapping domain decomposition method for the solution of parametric elliptic problems via proper generalized decomposition

M Discacciati, BJ Evans, M Giacomini - Computer Methods in Applied …, 2024 - Elsevier
A non-intrusive proper generalized decomposition (PGD) strategy, coupled with an
overlapping domain decomposition (DD) method, is proposed to efficiently construct …

Exponentially convergent multiscale finite element method

Y Chen, TY Hou, Y Wang - Communications on Applied Mathematics and …, 2024 - Springer
We provide a concise review of the exponentially convergent multiscale finite element
method (ExpMsFEM) for efficient model reduction of PDEs in heterogeneous media without …

Localized model reduction for nonlinear elliptic partial differential equations: localized training, partition of unity, and adaptive enrichment

K Smetana, T Taddei - SIAM Journal on Scientific Computing, 2023 - SIAM
We propose a component-based (CB) parametric model order reduction (pMOR) formulation
for parameterized nonlinear elliptic partial differential equations. CB-pMOR is designed to …

[HTML][HTML] Model reduction of coupled systems based on non-intrusive approximations of the boundary response maps

N Discacciati, JS Hesthaven - Computer Methods in Applied Mechanics …, 2024 - Elsevier
We propose a local, non-intrusive model order reduction technique to accurately
approximate the solution of coupled multi-component parametrized systems governed by …

[HTML][HTML] A reduced order model for geometrically parameterized two-scale simulations of elasto-plastic microstructures under large deformations

T Guo, O Rokoš, K Veroy - Computer Methods in Applied Mechanics and …, 2024 - Elsevier
In recent years, there has been a growing interest in understanding complex microstructures
and their effect on macroscopic properties. In general, it is difficult to derive an effective …

[HTML][HTML] Modular model reduction of interconnected systems: A robust performance analysis perspective

LAL Janssen, B Besselink, RHB Fey, N van de Wouw - Automatica, 2024 - Elsevier
Many complex engineering systems consist of multiple subsystems that are developed by
different teams of engineers. To analyse, simulate and control such complex systems …

Randomized linear algebra for model reduction. Part I: Galerkin methods and error estimation

O Balabanov, A Nouy - Advances in Computational Mathematics, 2019 - Springer
We propose a probabilistic way for reducing the cost of classical projection-based model
order reduction methods for parameter-dependent linear equations. A reduced order model …

[PDF][PDF] Localized model reduction for parameterized problems

A Buhr, L Iapichino, M Ohlberger, S Rave… - Handbook on Model …, 2020 - library.oapen.org
In this contribution we present a survey of concepts in localized model order reduction
methods for parameterized partial differential equations. The key concept of localized model …