activity
20152023
most citedAn analysis of a class of variational multiscale methods based on subspace decomposition

99 citations · 117 across the 7 of their papers we have counts for

collaborators

11 papers

math.NA2023

Fredholm integral equations for function approximation and the training of neural networks

Patrick Gelß, Aizhan Issagali, Ralf Kornhuber

We present a novel and mathematically transparent approach to function approximation and the training of large, high-dimensional neural networks, based on the approximate least-squ…

math.NA2021

Numerical simulation of multiscale fault systems with rate- and state-dependent friction

Carsten Gräser, Ralf Kornhuber, Joscha Podlesny

We consider the deformation of a geological structure with non-intersecting faults that can be represented by a layered system of viscoelastic bodies satisfying rate- and state-dep…

math.NA2020

Free energy computation of particles with membrane-mediated interactions via Langevin dynamics

Tobias Kies, Carsten Gräser, Luigi Delle Site +1

We apply well-established concepts of Langevin sampling to derive a new class of algorithms for the efficient computation of free energy differences of fluctuating particles embedd…

math.NA2020

Numerical Homogenization of Fractal Interface Problems

Ralf Kornhuber, Joscha Podlesny, Harry Yserentant

We consider the numerical homogenization of a class of fractal elliptic interface problems inspired by related mechanical contact problems from the geosciences. A particular featur…

math.AP2017

Fractal homogenization of multiscale interface problems

Martin Heida, Ralf Kornhuber, Joscha Podlesny

Inspired by continuum mechanical contact problems with geological fault networks, we consider elliptic second order differential equations with jump conditions on a sequence of mul…

math.NA2017

A globally convergent filter-trust-region method for large deformation contact problems

Jonathan Youett, Oliver Sander, Ralf Kornhuber

We present a globally convergent method for the solution of frictionless large deformation contact problems for hyperelastic materials. The discretisation uses the mortar method wh…

math.NA2017★ 1 cited

Evolving surface finite element methods for random advection-diffusion equations

Ana Djurdjevac, Charles M. Elliott, Ralf Kornhuber +1

In this paper, we introduce and analyse a surface finite element discretization of advection-diffusion equations with uncertain coefficients on evolving hypersurfaces. After statin…

math.NA2016★ 1 cited

Adaptive Multilevel Monte Carlo Methods for Stochastic Variational Inequalities

Ralf Kornhuber, Evgenia Youett

While multilevel Monte Carlo (MLMC) methods for the numerical approximation of partial differential equations with random coefficients enjoy great popularity, combinations with spa…

math.NA2016★ 99 cited

An analysis of a class of variational multiscale methods based on subspace decomposition

Ralf Kornhuber, Daniel Peterseim, Harry Yserentant

Numerical homogenization tries to approximate the solutions of elliptic partial differential equations with strongly oscillating coefficients by functions from modified finite elem…

math.NA2016

Numerical approximation of multi-phase Penrose-Fife systems

Carsten Gräser, Max Kahnt, Ralf Kornhuber

We consider a non-isothermal multi-phase field model. We subsequently discretize implicitly in time and with linear finite elements. The arising algebraic problem is formulated in…

math.AP2015★ 16 cited

A Variational Approach to Particles in Lipid Membranes

Charles M. Elliott, Carsten Gräser, Graham Hobbs +2

A variety of models for the membrane-mediated interaction of particles in lipid membranes, mostly well-established in theoretical physics, is reviewed from a mathematical perspecti…