activity
20102026
most citedA multilevel Monte Carlo method for computing failure probabilities

49 citations · 116 across the 30 of their papers we have counts for

collaborators

39 papers

math.NA2026

A Hybridizable Discontinuous Galerkin Method for Wave Propagation in Elastic Beam Networks

Moritz Hauck, Joseph Holten, Axel Målqvist +2

This paper studies the numerical solution of elastic wave propagation on networks, modeled by elastodynamic equations posed on each edge, coupled at the nodes through suitable tran…

math.NA2026

Subspace decomposition with defect diffusion coefficient

Dilini Kolombage, Axel Målqvist, Barbara Verfürth

Elliptic diffusion problems with multiscale heterogeneous coefficients lead to poorly conditioned discrete systems and therefore require effective preconditioning strategies. While…

math.NA2025

Numerical Simulation of Beam Network Models

Morgan Görtz, Moritz Hauck, Axel Målqvist +2

Network models are used as efficient representation of materials with complex, interconnected locally one-dimensional structures. They typically accurately capture the mechanical p…

math.NA2025

A Localized Orthogonal Decomposition Method for Heterogeneous Mixed-Dimensional Problems

Moritz Hauck, Axel Målqvist, Malin Mosquera

We propose a multiscale method for mixed-dimensional elliptic problems with highly heterogeneous coefficients arising, for example, in the modeling of fractured porous media. The m…

math.NA2024

Arbitrary order approximations at constant cost for Timoshenko beam network models

Moritz Hauck, Axel Målqvist, Andreas Rupp

This paper considers the numerical solution of Timoshenko beam network models, comprised of Timoshenko beam equations on each edge of the network, which are coupled at the nodes of…

math.NA2023

An algebraic multiscale method for spatial network models

Moritz Hauck, Roland Maier, Axel Målqvist

In this work, we present a multiscale approach for the reliable coarse-scale approximation of spatial network models represented by a linear system of equations with respect to the…

math.NA2023

Localized orthogonal decomposition for a multiscale parabolic stochastic partial differential equation

Annika Lang, Per Ljung, Axel Målqvist

A multiscale method is proposed for a parabolic stochastic partial differential equation with additive noise and highly oscillatory diffusion. The framework is based on the localiz…

math.NA2022

Well-Posedness and Finite Element Approximation of Mixed Dimensional Partial Differential Equations

Fredrik Hellman, Axel Målqvist, Malin Mosquera

We consider a mixed dimensional elliptic partial differential equation posed in a bulk domain with a large number of embedded interfaces. In particular, we study well-posedness of…

math.NA2022★ 4 cited

Multiscale methods for solving wave equations on spatial networks

Morgan Görtz, Per Ljung, Axel Målqvist

We present and analyze a multiscale method for wave propagation problems, posed on spatial networks. By introducing a coarse scale, using a finite element space interpolated onto t…

math.NA2022★ 2 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.NA2022★ 1 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.NA2022

Iterative solution of spatial network models by subspace decomposition

Morgan Görtz, Fredrik Hellman, Axel Målqvist

We present and analyze a preconditioned conjugate gradient method (PCG) for solving spatial network problems. Primarily, we consider diffusion and structural mechanics simulations…

math.NA2021

A space-time multiscale method for parabolic problems

Per Ljung, Roland Maier, Axel Målqvist

We present a space-time multiscale method for a parabolic model problem with an underlying coefficient that may be highly oscillatory with respect to both the spatial and the tempo…

math.NA2021

An offline-online strategy for multiscale problems with random defects

Axel Målqvist, Barbara Verfürth

In this paper, we propose an offline-online strategy based on the Localized Orthogonal Decomposition (LOD) method for elliptic multiscale problems with randomly perturbed diffusion…

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★ 2 cited

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★ 16 cited

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…

math.NA2018

Numerical upscaling of discrete network models

Gustav Kettil, Axel Målqvist, Andreas Mark +3

In this paper a numerical multiscale method for discrete networks is presented. The method gives an accurate coarse scale representation of the full network by solving sub-network…

math.NA2018

Finite element convergence for the time-dependent Joule heating problem with mixed boundary conditions

Max Jensen, Axel Målqvist, Anna Persson

We prove strong convergence for a large class of finite element methods for the time-dependent Joule heating problem in three spatial dimensions with mixed boundary conditions on L…

math.NA2017★ 12 cited

Multiscale differential Riccati equations for linear quadratic regulator problems

Axel Målqvist, Anna Persson, Tony Stillfjord

We consider approximations to the solutions of differential Riccati equations in the context of linear quadratic regulator problems, where the state equation is governed by a multi…

math.NA2017

Numerical homogenization of elliptic PDEs with similar coefficients

Fredrik Hellman, Axel Målqvist

We consider a sequence of elliptic partial differential equations (PDEs) with different but similar rapidly varying coefficients. Such sequences appear, for example, in splitting s…

math.NA2016

Contrast independent localization of multiscale problems

Fredrik Hellman, Axel Målqvist

The accuracy of many multiscale methods based on localized computations suffers from high contrast coefficients since the localization error generally depends on the contrast. We s…

math.NA2016★ 7 cited

Finite element convergence analysis for the thermoviscoelastic Joule heating problem

Axel Målqvist, Tony Stillfjord

We consider a system of equations that model the temperature, electric potential and deformation of a thermoviscoelastic body. A typical application is a thermistor; an electrical…