Stability Issues for Numerical Methods for SDEs

Activity: Talk or presentationPoster presentationunknown

Description

Stochastic Differential Equations (SDEs) have become a standard modelling tool in many areas of science, e.g., from finance to neuroscience. Many numerical methods have been developed in the last decades and analysed for their strong or weak convergence behaviour.This poster provides an overview on recent progress in the analysis of stability properties of numerical methods for SDEs, in particular for systems of equations. We are interested in developing classes of test equations that allow insight into the stability behaviour of the methods and in developing approaches to analyse the resulting systems of equations.
Period15 Jan 2013
Event titleTheory and Applications of Stochastic PDEs
Event typeConference
LocationUnited StatesShow on map

Fields of science

  • 101002 Analysis
  • 101024 Probability theory
  • 101019 Stochastics
  • 101014 Numerical mathematics

JKU Focus areas

  • Computation in Informatics and Mathematics
  • Engineering and Natural Sciences (in general)