arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1311.0809math.NAcs.NA
收藏

具有标量噪声的索引1随机微分代数方程的Runge-Kutta方法稳定性分析与分类

Stability Analysis and Classification of Runge-Kutta Methods for Index 1 Stochastic Differential-Algebraic Equations with Scalar Noise

Norwegian University of Science and Technology(挪威科技大学);Universität zu Lübeck(吕贝克大学)

Dominique Küpper, Anne Kværnø, Andreas Rößler

AI总结:

本文研究了标量驱动布朗运动下的索引1随机微分代数方程的数值解法,提出了一类无需伪逆或投影的刚性准确随机Runge-Kutta方法,并分析了其均方稳定性,给出了高效阶数为0.5和1.0的稳定方法族。

摘要:

本文考虑了具有标量驱动布朗运动的索引1随机微分代数方程(SDAEs)的求解问题。最近,作者提出了一类无需伪逆或投影的刚性准确随机Runge-Kutta(SRK)方法用于该问题的数值求解。基于此类近似方法,计算了刚性准确SRK方法的系数,以达到强阶0.5和强阶1.0。进一步分析了所考虑SRK方法类的均方稳定性。主要结果是给出了对于SDEs和SDAEs具有最小阶段数的A稳定高效阶数为0.5和1.0的刚性准确SRK方法族。

英文摘要:

The problem of solving stochastic differential-algebraic equations (SDAEs) of index one with a scalar driving Brownian motion is considered. Recently, the authors proposed a class of stiffly accurate stochastic Runge-Kutta (SRK) methods that do not involve any pseudo-inverses or projectors for the numerical solution of the problem. Based on this class of approximation methods, a classification for the coefficients of stiffly accurate SRK methods attaining strong order 0.5 as well as strong order 1.0 are calculated. Further, the mean-square stability for the considered class of SRK methods is analysed. As the main result, families of A-stable efficient order 0.5 and 1.0 stiffly accurate SRK methods with a minimal number of stages for SDEs as well as for SDAEs are presented.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑