activity
20192022
most citedSuper-localization of spatial network models

2 citations · 3 across the 3 of their papers we have counts for

collaborators

6 papers

math.NA20222 cited

Super-localization of spatial network models

Moritz Hauck, Axel Målqvist

Spatial network models are used as a simplified discrete representation in a wide range of applications, e.g., flow in blood vessels, elasticity of fiber based materials, and pore…

math.NA20221 cited

Numerical homogenization of spatial network models

Fredrik Edelvik, Morgan Görtz, Fredrik Hellman +2

We present and analyze a methodology for numerical homogenization of spatial networks, modelling e.g. diffusion processes and deformation of mechanical structures. The aim is to co…

math.NA2020

A generalized finite element method for the strongly damped wave equation with rapidly varying data

Per Ljung, Axel Målqvist, Anna Persson

We propose a generalized finite element method for the strongly damped wave equation with highly varying coefficients. The proposed method is based on the localized orthogonal deco…

math.NA2020

A numerical multiscale method for fiber networks

Morgan Görtz, Gustav Kettil, Axel Målqvist +2

Fiber network modeling can be used for studying mechanical properties of paper. The individual fibers and the bonds in-between constitute a detailed representation of the material.…

math.NA2019

Numerical upscaling for heterogeneous materials in fractured domains

Fredrik Hellman, Axel Målqvist, Siyang Wang

We consider numerical solution of elliptic problems with heterogeneous diffusion coefficients containing thin highly conductive structures. Such problems arise e.g. in fractured po…

math.NA2019

Numerical upscaling of perturbed diffusion problems

Fredrik Hellman, Tim Keil, Axel Målqvist

In this paper we study elliptic partial differential equations with rapidly varying diffusion coefficient that can be represented as a perturbation of a reference coefficient. We d…