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
Showing 2022Show all

5 papers · 1 filter

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…