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首页> 外文期刊>Inverse Problems: An International Journal of Inverse Problems, Inverse Methods and Computerised Inversion of Data >Simultaneous inversion for the space-dependent diffusion coefficient and the fractional order in the time-fractional diffusion equation
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Simultaneous inversion for the space-dependent diffusion coefficient and the fractional order in the time-fractional diffusion equation

机译:时空扩散方程中与空间相关的扩散系数和分数阶的同时反演

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This paper deals with an inverse problem of simultaneously identifying the space-dependent diffusion coefficient and the fractional order in the 1D time-fractional diffusion equation with smooth initial functions by using boundary measurements. The uniqueness results for the inverse problem are proved on the basis of the inverse eigenvalue problem, and the Lipschitz continuity of the solution operator is established. A modified optimal perturbation algorithm with a regularization parameter chosen by a sigmoid-type function is put forward for the discretization of the minimization problem. Numerical inversions are performed for the diffusion coefficient taking on different functional forms and the additional data having random noise. Several factors which have important influences on the realization of the algorithm are discussed, including the approximate space of the diffusion coefficient, the regularization parameter and the initial iteration. The inversion solutions are good approximations to the exact solutions with stability and adaptivity demonstrating that the optimal perturbation algorithm with the sigmoid-type regularization parameter is efficient for the simultaneous inversion.
机译:本文提出了一个反问题,即通过边界测量在具有平滑初始函数的一维时间-分数-扩散方程中同时识别空间相关的扩散系数和分数阶。在反特征值问题的基础上证明了反问题的唯一性,并建立了解算子的Lipschitz连续性。提出了一种修正的最优摄动算法,该算法具有由S型函数选择的正则化参数,用于最小化问题的离散化。对具有不同功能形式的扩散系数和具有随机噪声的附加数据进行数值反演。讨论了影响算法实现的几个重要因素,包括扩散系数的近似空间,正则化参数和初始迭代。反演解很好地近似了具有稳定性和适应性的精确解,表明具有S型正则化参数的最优摄动算法对于同时反演是有效的。

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