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Weak second order explicit exponential Runge-Kutta methods for stochastic differential equations

机译:随机微分方程的弱二阶显式指数Runge-Kutta方法

摘要

We propose new explicit exponential Runge-Kutta methods for the weak approximation of solutions of stiff Ito stochastic differential equations (SDEs). These methods have weak order two for multi-dimensional, non-commutative SDEs with a semi- linear drift term, whereas they are of order two or three for semilinear ordinary differential equations. These methods are A-stable in the mean square sense for a scalar linear test equation whose drift and diffusion terms have complex coefficients. We perform numerical experiments to compare the performance of these methods with an existing explicit stabilized method of weak order two.
机译:我们提出了一种新的显式指数Runge-Kutta方法,用于解决刚性Ito随机微分方程(SDE)的弱近似问题。对于具有半线性漂移项的多维非交换SDE,这些方法的弱阶为2,而对于半线性常微分方程,它们的阶为2或3。对于标量线性测试方程,这些方法在均方意义上是A稳定的,该方程的漂移项和扩散项具有复数系数。我们进行数值实验,以比较这些方法与现有的弱二阶显式稳定方法的性能。

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