2010AIP conference proceedingsOpen access

Explicit Stochastic Runge-Kutta Methods with Large Stability Regions

Kevin Burrage, Yoshio Komori, Theodore E. Simos, George Psihoyios, Ch. Tsitouras

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Abstract

Our aim is to derive explicit Runge‐Kutta schemes for Stratonovich stochastic differential equations with a multidimensional Wiener process, which are of weak order 2 and which have large stability regions. This has been achieved by the use of a technique in Chebyshev methods for ordinary differential equations. In this talk, large stability regions of our schemes will be shown. Concerning convergence order and stability properties, the schemes will be tested in numerical experiments.

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What this paper is about

Our aim is to derive explicit Runge‐Kutta schemes for Stratonovich stochastic differential equations with a multidimensional Wiener process, which are of weak order 2 and which have large stability regions. This has been achieved by the use of a technique in Chebyshev methods for ordinary differential equations. In this talk, large stability regions of our schemes will be shown. Concerning convergence order and stability properties, the schemes will be tested in numerical experiments.

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Available abstract

Our aim is to derive explicit Runge‐Kutta schemes for Stratonovich stochastic differential equations with a multidimensional Wiener process, which are of weak order 2 and which have large stability regions. This has been achieved by the use of a technique in Chebyshev methods for ordinary differential equations. In this talk, large stability regions of our schemes will be shown. Concerning convergence order and stability properties, the schemes will be tested in numerical experiments.

Key concepts: Runge–Kutta methods, Stability (learning theory), Convergence (economics), Ordinary differential equation, Stochastic differential equation, Mathematics, Applied mathematics, Wiener process

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