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The quasi-boundary value regularization method for identifying the initial value with discrete random noise

机译:用离散随机噪声识别初始值的准边界值正则化方法

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摘要

In this paper, we study an inverse initial value problem for the fractional diffusion equation with discrete noise. This problem is ill-posed in the sense of Hadamard. We apply the trigonometric method in a nonparametric regression associated with the quasi-boundary value regularization method to deal with this ill-posed problem. The corresponding convergence estimate for this method is obtained. The numerical results show that this regularization method is flexible and stable.
机译:在本文中,我们研究了具有离散噪声的分数阶扩散方程的逆初值问题。在哈达玛看来,这个问题是不恰当的。我们将三角法应用于与拟边界值正则化方法相关的非参数回归中,以解决此不适定问题。获得了该方法的相应收敛估计。数值结果表明,该正则化方法灵活,稳定。

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