activity
20092024
most citedA Continuation Multilevel Monte Carlo algorithm

85 citations · 136 across the 4 of their papers we have counts for

collaborators

5 papers

math.NA2024

Importance sampling for rare event tracking within the ensemble Kalman filtering framework

Nadhir Ben Rached, Erik von Schwerin, Gaukhar Shaimerdenova +1

In this work we employ importance sampling (IS) techniques to track a small over-threshold probability of a running maximum associated with the solution of a stochastic differentia…

math.NA2016★ 1 cited

Multi-level Monte Carlo acceleration of computations on multi-layer materials with random defects

Petr Plecháč, Erik von Schwerin

We propose a Multi-level Monte Carlo technique to accelerate Monte Carlo sampling for approximation of properties of materials with random defects. The computational efficiency is…

math.NA2014★ 50 cited

Optimization of mesh hierarchies in Multilevel Monte Carlo samplers

Abdul Lateef Haji Ali, Fabio Nobile, Erik von Schwerin +1

We perform a general optimization of the parameters in the Multilevel Monte Carlo (MLMC) discretization hierarchy based on uniform discretization methods with general approximation…

math.NA2014★ 85 cited

A Continuation Multilevel Monte Carlo algorithm

Nathan Collier, Abdul-Lateef Haji-Ali, Fabio Nobile +2

We propose a novel Continuation Multi Level Monte Carlo (CMLMC) algorithm for weak approximation of stochastic models. The CMLMC algorithm solves the given approximation problem fo…

math.NA2009

A Stochastic Phase-Field Model Computed From Coarse-Grained Molecular Dynamics

Erik von Schwerin

Results are presented from numerical experiments aiming at the computation of stochastic phase-field models for phase transformations by coarse-graining molecular dynamics. The stu…