activity
20142022
most citedA multilevel Monte Carlo method for computing failure probabilities

49 citations · 71 across the 8 of their papers we have counts for

collaborators

9 papers

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★ 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.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.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.NA2015★ 3 cited

Multiscale mixed finite elements

Fredrik Hellman, Patrick Henning, Axel Målqvist

In this work, we propose a mixed finite element method for solving elliptic multiscale problems based on a localized orthogonal decomposition (LOD) of Raviart-Thomas finite element…

math.NA2014★ 49 cited

A multilevel Monte Carlo method for computing failure probabilities

Daniel Elfverson, Fredrik Hellman, Axel Målqvist

We propose and analyze a method for computing failure probabilities of systems modeled as numerical deterministic models (e.g., PDEs) with uncertain input data. A failure occurs wh…