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Numerical Approach for Finding the Solution of Single Term Nonlinear Fractional Differential Equation

机译:查找单术语非线性分数微分方程解的数值方法

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Here in this paper nonlinear fractional differential equation and its solution have been presented. Fractional Calculus is nothing but the generalization of integer order calculus and due to its complexity, it has not explored much but nature understands the language of fractional calculus more than classical calculus which helps it to find its application in every field of science and technology. It is not easy to approximate the fractional differential equation (FDE) easily but few efficient methods are used efficiently to approximate linear as well as nonlinear FDE. Such a numerical approach is Adam’s Predictor-Corrector method that are extensively used to approximate linear as well as nonlinear FDE. Here Adam’s Predictor-Corrector method is used to approximate single term nonlinear FDE with an example which shows different results for separate use of Predictor, Corrector as well as both Predictor and Corrector to approximate nonlinear FDE which also shows the numerical efficiency of each terms to approximate nonlinear FDE that will help in improvement of the result of numerical approximation. All simulations have been done in MATLAB.
机译:这里介绍了本文中的非线性分数微分方程及其解决方案。分数计算只不过是整数阶微积分的概括,由于其复杂性,它没有探索,但性质了解分数微积分的语言,而不是经典考核,这有助于它在各种科学和技术领域找到其应用。近似分数微分方程(FDE)容易近似,但很少有效的方法是有效地用于近似线性和非线性FDE。这种数值方法是ADAM的预测校正器方法,其广泛地用于近似线性和非线性FDE。这里,ADAM的预测器校正方法用于近似单个术语非线性FDE,其示出了用于单独使用预测器,校正器以及预测器和校正器的不同结果,以近似非线性FDE,其还示出了近似的每个术语的数值效率非线性FDE将有助于改进数值近似的结果。所有模拟都已在Matlab中完成。

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