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Landweber iterative method for identifying a space-dependent source for the time-fractional diffusion equation

机译:用Landweber迭代方法识别时间分数扩散方程的空间相关源

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This paper is devoted to identifying an unknown source for a time-fractional diffusion equation with variable coefficients in a general bounded domain. This is an ill-posed problem. Firstly, we obtain a regularization solution by the Landweber iterative regularization method. The convergence estimates between regularization solution and exact solution are given under a priori and a posteriori regularization parameter choice rules, respectively. The convergence estimates we obtain are optimal order for any p in two parameter choice rules, i.e., it does not appear to be a saturating phenomenon. Finally, the numerical examples in the one-dimensional and two-dimensional cases show our method is feasible and effective.
机译:本文致力于为一般有界域中具有可变系数的时间分数阶扩散方程识别未知源。这是一个不适的问题。首先,我们通过Landweber迭代正则化方法获得正则化解。正则化解和精确解之间的收敛性估计分别在先验和后验正则化参数选择规则下给出。我们获得的收敛估计是两个参数选择规则中任何p的最优阶,即它似乎不是饱和现象。最后,在一维和二维情况下的数值算例表明了该方法的可行性和有效性。

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