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-Multiscale Galerkin’s Scheme with Multilevel Augmentation Algorithm for Solving Time Fractional Burgers’ Equation

机译:- 用多级增强算法解决时间分数汉堡方程的多级增强算法

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In this paper, we consider the initial boundary value problem of the time fractional Burgers equation. A fully discrete scheme is proposed for the time fractional nonlinear Burgers equation with time discretized by - type formula and space discretized by the multiscale Galerkin method. The optimal convergence orders reach in the norm and in the norm, respectively, in which is the time step size, is the space step size, and is the order of piecewise polynomial space. Then, a fast multilevel augmentation method (MAM) is developed for solving the nonlinear algebraic equations resulting from the fully discrete scheme at each time step. We show that the MAM preserves the optimal convergence orders, and the computational cost is greatly reduced. Numerical experiments are presented to verify the theoretical analysis, and comparisons between MAM and Newton’s method show the efficiency of our algorithm.
机译:在本文中,我们考虑了时间分数汉堡方程的初始边值问题。 提出了一种完全离散的方案,用于时间分数非线性汉堡方程与多尺度Galerkin方法离散化的时间分散化的时间和空间。 最佳收敛订单分别在规范中达到范围,其中是时间步长,是空间步长,是分段多项式空间的顺序。 然后,开发了一种快速多级增强方法(MAM),用于求解由每次步骤的完全离散方案产生的非线性代数方程。 我们表明MAM保留了最佳收敛订单,计算成本大大降低。 提出了数值实验以验证理论分析,妈妈和牛顿的方法比较显示了我们算法的效率。

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