One-step approximations for stochastic functional differential equations

  • Authors:
  • Evelyn Buckwar

  • Affiliations:
  • Humboldt-Universität zu Berlin, Institut für Mathematik, Unter den Linden 6, 10099 Berlin, Germany

  • Venue:
  • Applied Numerical Mathematics
  • Year:
  • 2006

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Abstract

We consider the problem of strong approximations of the solution of Ito stochastic functional differential equations (SFDEs). We develop a general framework for the strong convergence of drift-implicit one-step schemes to the solution of SFDEs. Several examples illustrate the applicability of the framework.