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Numerical Methods for Systems of Stochastic Equations and Linear Stability Analysis

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 we are interested in analysing systems of stochastic equations, where these may also arise as space discretisations of stochastic partial differential equations. We are interested in developing classes of test equations that allow us to obtian insight into the stability behaviour of the methods and in developing approaches to analyse the resulting systems of equations. The talk is based on joint work with C. Kelly and Th. Sickenberger.
Period13 Dec 2011
Event titleNumerical Analysis of Multiscale Problems & Stochastic Modelling
Event typeConference
LocationAustriaShow 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)