Itô随机微分方程数值解的一阶强龙格-库塔方法

A. Soheili, M.Namjoo
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引用次数: 3

摘要

本文给出了一类强全局1阶随机Runge-Kutta (SRK)方法的系数阶条件,用于求解具有单噪声过程的Ito随机微分方程(SDEs)。特别地,构造了这类具有最小主误差常数的显式两阶段和三阶段SRK方法。本文将对伊藤法和米尔斯坦法两个测试问题的数值结果进行比较。
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Strong Runge–Kutta Methods With order one for Numerical Solution of Itô Stochastic Differential Equations
In this paper, order conditions for coefficients of a class of stochastic Runge–Kutta (SRK) methods with strong global order 1, which applied for solving Ito stochastic differential equations (SDEs) with a single noise process, are presented. In particular, explicit twostage and three-stage SRK methods of this class with minimum principal error constants are constructed. Numerical results with two test problems of our methods, the Ito method and Milstein method will be compared.
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