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EPSRC Reference: GR/R10158/01
Title: Adaptivity For Stochastic Differential Equations: Long-Time Dynamics
Principal Investigator: Stuart, Professor A
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Department: Mathematics
Organisation: University of Warwick
Scheme: Standard Research (Pre-FEC)
Starts: 09 November 2000 Ends: 08 November 2001 Value (£): 6,128
EPSRC Research Topic Classifications:
Numerical Analysis
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Summary on Grant Application Form
The use of simple explicit numerical methods, such as the Euler-Maruyama scheme, is highly desirable for many stochastic differential equations (SDEs) arising in practice. However such schemes are transient when applied to a variety of ergodic SDEs, no matter how small a time-step is used. For ordinary differential equations (ODEs), related problems can be ameliorated to a large extent by the use of adaptive time-step algorithms. The aim of this work is to study the use adaptive time-step algorithms for SDEs, in particular with regard to the effect on ergodicity. The work will be based on the study of existing algorithms for adaptive integration of SDEs, such as that due to Gaines-Lyons, together with insights gained from the understanding of adaptivity on the dynamics of ODEs.
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Organisation Website: http://www.warwick.ac.uk