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07/27/2023
A localized orthogonal decomposition strategy for hybrid discontinuous Galerkin methods
We formulate and analyze a multiscale method for an elliptic problem wit...
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06/29/2023
Localized implicit time stepping for the wave equation
This work proposes a discretization of the acoustic wave equation with p...
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11/04/2022
An improved high-order method for elliptic multiscale problems
In this work, we propose a high-order multiscale method for an elliptic ...
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09/06/2022
Neural network approximation of coarse-scale surrogates in numerical homogenization
Coarse-scale surrogate models in the context of numerical homogenization...
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09/14/2021
A space-time multiscale method for parabolic problems
We present a space-time multiscale method for a parabolic model problem ...
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09/01/2021
Adaptive Refinement for Unstructured T-Splines with Linear Complexity
We present an adaptive refinement algorithm for T-splines on unstructure...
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05/25/2021
Operator Compression with Deep Neural Networks
This paper studies the compression of partial differential operators usi...
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04/20/2021
A decoupling and linearizing discretization for poroelasticity with nonlinear permeability
We analyze a semi-explicit time discretization scheme of first order for...
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04/16/2021
Fast mass lumped multiscale wave propagation modelling
In this paper, we investigate the use of a mass lumped fully explicit ti...
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11/18/2020
Multiscale Scattering in Nonlinear Kerr-Type Media
We propose a multiscale approach for a nonlinear Helmholtz problem with ...
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09/02/2020
A high-order approach to elliptic multiscale problems with general unstructured coefficients
We propose a multiscale approach for an elliptic multiscale setting with...
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05/04/2020
Reconstruction of quasi-local numerical effective models from low-resolution measurements
We consider the inverse problem of reconstructing an effective model for...
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02/13/2020
XCS Classifier System with Experience Replay
XCS constitutes the most deeply investigated classifier system today. It...
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09/08/2019