Stability issues for numerical methods for SDEs

Activity: Talk or presentationInvited talkunknown

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. In this talk we will provide 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.
Period03 May 2012
Event titleunbekannt/unknown
Event typeOther
LocationGermanyShow on map

Fields of science

  • 101002 Analysis
  • 101024 Probability theory
  • 107 Other Natural Sciences
  • 211 Other Technical Sciences
  • 101019 Stochastics
  • 101029 Mathematical statistics
  • 101015 Operations research
  • 101026 Time series analysis
  • 101014 Numerical mathematics

JKU Focus areas

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