Numerical Spline Method for Simulation of Stochastic Differential Equations systems: طريقة شرائحية عددية لمحاكاة حل نظم من المعادلات التفاضلية العشوائية

Suliman M. Mahmoud, Ahmad Al-Wassouf, Ali S. Ehsaan Suliman M. Mahmoud, Ahmad Al-Wassouf, Ali S. Ehsaa
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Abstract

In this paper, numerical spline method is presented with collocation two parameters for solving systems of multi-dimensional stochastic differential equations (SDEs). Multi-Wiener's time-continuous process is simulated as a discrete process, and then the mean-square stability of proposed method when applied to a system of two-dimensional linear SDEs is studied. The study shows that the method is mean-square stability and third-order convergent when applied to a system of linear and nonlinear SDEs. Moreover, the effectiveness of our method was tested by solving two test linear and non-linear problems. The numerical results show that the accuracy and applicability of the proposed method are worthy of attention.
模拟随机差分方程解决办法的多边形方法
本文提出了双参数配置的数值样条法求解多维随机微分方程系统。将多重维纳时间连续过程模拟为离散过程,研究了该方法应用于二维线性SDEs系统时的均方稳定性。研究表明,该方法具有均方稳定性和三阶收敛性,适用于线性和非线性SDEs系统。通过求解线性和非线性两个测试问题,验证了该方法的有效性。数值结果表明,该方法的准确性和适用性值得重视。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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