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Numerical solution of fractional variational problems depending on indefinite integrals using transcendental Bernstein series

机译:超分析问题的数值解,取决于使用超义伯恩斯坦系列的无限积分

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This paper proposes an optimization method for solving fractional variational problems depending on indefinite integrals, where the fractional derivative is described in the Caputo sense. The method is based on the new basis functions consisting of the transcendental Bernstein series (TBS) and their operational matrices. In the first step, we derive an approximate solution for the problem using TBS with the free coefficients and control parameters. In the second step, we use the fractional operational matrix, with the help of the Lagrange multipliers technique, for converting the fractional variational problem into an easier one, described by a system of nonlinear algebraic equations. The convergence analysis of the method, will be guaranteed by proving a new theorem concerning TBS. Finally, for illustrating the efficiency and accuracy of the proposed technique, several numerical examples are analyzed and the results compared with the analytical solutions or the approximation obtained by other techniques.
机译:本文提出了一种优化方法,其根据不定的积分来解决分数分析问题,其中在Caputo意义上描述了分数衍生物。该方法基于由超伯恩斯坦系列(TBS)及其操作矩阵组成的新基函数。在第一步中,我们使用具有自由系数和控制参数的TBS来源的近似解决问题。在第二步中,在拉格朗日乘法器技术的帮助下,我们使用分数操作矩阵,用于将分数变分问题转换为更容易的,由非线性代数方程的系统描述。通过证明TBS的新定理,将保证该方法的收敛分析。最后,为了说明所提出的技术的效率和准确性,分析了几个数值示例,与通过其他技术获得的分析解决方案或近似的结果进行了分析。

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