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Numerical solutions of fuzzy differential equations by an efficient Runge-Kutta method with generalized differentiability

机译:用有效的广义广义Runge-Kutta方法求解模糊微分方程的数值解

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In this paper, an extended fourth-order Runge-Kutta method is studied to approximate the solutions of first-order fuzzy differential equations using a generalized characterization theorem. In this method, new parameters are utilized in order to enhance the order of accuracy of the solutions using evaluations of both f and f', instead of using the evaluations of f only. The proposed extended Runge-Kutta method and its error analysis, which guarantees pointwise convergence, are given in detail. Furthermore, the accuracy and efficiency of the proposed method are demonstrated in a series of numerical experiments. (C) 2016 Elsevier B.V. All rights reserved.
机译:本文研究了一种扩展的四阶Runge-Kutta方法,利用广义特征定理来逼近一阶模糊微分方程的解。在这种方法中,利用新参数来提高使用f和f'的评估结果的准确性,而不是仅使用f的评估结果。详细给出了扩展的Runge-Kutta方法及其误差分析,该方法可以保证逐点收敛。此外,通过一系列数值实验证明了该方法的准确性和效率。 (C)2016 Elsevier B.V.保留所有权利。

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