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Runge - Kutta Methods for Fuzzy Differential Equations

机译:模糊微分方程的runge - Kutta方法

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摘要

Fuzzy Differential Equations generalize the concept of crisp Initial Value Problems. In this article, the numerical solution of these equations is dealt with. The notion of convergence of a numerical method is defined and a category of problems which is more general than the one already found in Numerical Analysis literature is solved. Efficient s-stage Runge -Kutta methods are used for the numerical solution of these problems and the convergence of the methods is proved. Several examples comparing these methods with the previously developed Euler method are displayed.
机译:模糊微分方程概括了清脆初始价值问题的概念。在本文中,处理这些方程的数值解。定义了数值方法的收敛概念,并且解决了比数值分析文献中已经发现的更广泛的问题。高效的S级跑步-Kutta方法用于这些问题的数值解决方案,并证明了这些方法的收敛性。将显示与先前开发的欧拉方法进行比较这些方法的几个示例。

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