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20162022
most citedLearning the structure of wind: A data-driven nonlocal turbulence model for the atmospheric boundary layer

9 citations · 13 across the 7 of their papers we have counts for

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Showing math.NAShow all

6 papers · 1 filter

math.NA2022

A matrix-free ILU realization based on surrogates

Daniel Drzisga, Andreas Wagner, Barbara Wohlmuth

Matrix-free techniques play an increasingly important role in large-scale simulations. Schur complement techniques and massively parallel multigrid solvers for second-order ellipti…

math.NA2021

A discontinuous Galerkin coupling for nonlinear elasto-acoustics

Markus Muhr, Vanja Nikolić, Barbara Wohlmuth

Inspired by medical applications of high-intensity ultrasound, we study a coupled elasto-acoustic problem with general acoustic nonlinearities of quadratic type as they arise, for…

math.NA2020

The surrogate matrix methodology: Accelerating isogeometric analysis of waves

Daniel Drzisga, Brendan Keith, Barbara Wohlmuth

The surrogate matrix methodology delivers low-cost approximations of matrices (i.e., surrogate matrices) which are normally computed in Galerkin methods via element-scale quadratur…

math.NA2019

A high-order discontinuous Galerkin method for nonlinear sound waves

Paola. F. Antonietti, Ilario Mazzieri, Markus Muhr +2

We propose a high-order discontinuous Galerkin scheme for nonlinear acoustic waves on polytopic meshes. To model sound propagation with and without losses, we use Westervelt's nonl…

math.NA2019

Finite volume discretization for poroelastic media with fractures modeled by contact mechanics

Runar L. Berge, Inga Berre, Eirik Keilegavlen +2

A fractured poroelastic body is considered where the opening of the fractures is governed by a nonpenetration law while slip is described by a Coulomb-type friction law. This physi…

math.NA2019

The surrogate matrix methodology: Low-cost assembly for isogeometric analysis

Daniel Drzisga, Brendan Keith, Barbara Wohlmuth

A new methodology in isogeometric analysis (IGA) is presented. This methodology delivers low-cost variable-scale approximations (surrogates) of the matrices which IGA conventionall…