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High Weak Order Methods for Stochastic Differential Equations Based on Modified Equations

Published inSIAM journal on scientific computing, vol. 34, no. 3, p. A1800-A1823
Publication date2012
Abstract

Inspired by recent advances in the theory of modified differential equations, we propose a new methodology for constructing numerical integrators with high weak order for the time integration of stochastic differential equations. This approach is illustrated with the constructions of new methods of weak order two, in particular, semi-implicit integrators well suited for stiff (mean-square stable) stochastic problems, and implicit integrators that exactly conserve all quadratic first integrals of a stochastic dynamical system. Numerical examples confirm the theoretical results and show the versatility of our methodology.

Keywords
  • Weak convergence
  • Modified equations
  • Backward error analysis
  • Stiff integrator
  • Invariant preserving integrator
Affiliation entities Not a UNIGE publication
Citation (ISO format)
ABDULLE, Assyr et al. High Weak Order Methods for Stochastic Differential Equations Based on Modified Equations. In: SIAM journal on scientific computing, 2012, vol. 34, n° 3, p. A1800–A1823. doi: 10.1137/110846609
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Journal ISSN1064-8275
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