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Discrete Direct Methods in the Fractional Calculus of Variations

机译:分数阶微积分中的离散直接方法

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Finite differences, as a subclass of direct methods in the calculus of variations, consist in discretizing the objective functional using appropriate approximations for derivatives that appear in the problem. This article generalizes the same idea for fractional variational problems. We consider a minimization problem with a Lagrangian that depends only on the left Riemann-Liouville fractional derivative. Using Grünwald-Letnikov de.nition, we approximate the objective functional in an equispaced grid as a multi-variable function of the values of the unknown function on mesh points. The problem is then transformed to an ordinary static optimization problem. The solution to the latter problem gives an approximation to the original fractional problem on mesh points.
机译:有限差分是变量计算中直接方法的子类,它包括对出现在问题中的导数使用适当的近似来离散化目标函数。本文概括了分数变分问题的相同思想。我们考虑仅依赖于左黎曼-利维尔分数导数的拉格朗日最小化问题。使用Grünwald-Letnikov定义,我们将等距网格中的目标函数近似为网格点上未知函数值的多变量函数。然后将该问题转换为普通的静态优化问题。后一个问题的解决方案近似于网格点上的原始分数问题。

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