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An accelerated Kaczmarz type method for nonlinear inverse problems in Banach spaces with uniformly convex penalty

机译:Banach空间中非线性逆问题的加速KACZMARZ型方法,均匀凸损失

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摘要

In this paper, we propose and analyze a novel Kaczmarz type method for solving inverse problems which can be written as systems of nonlinear operator equations in Banach spaces. The proposed method is formulated by combining homotopy perturbation iteration and Kaczmarz approach with uniformly convex penalty terms. The penalty term is allowed to be non-smooth, including the L-1 and the total variation like penalty functionals, to reconstruct special features of solutions such as sparsity and piecewise constancy. To accelerate the iteration, we introduce a sophisticated rule to determine the step sizes per iteration. Under certain conditions, we present the convergence result of the proposed method in the exact data case. When the data is given approximately, together with a suitable stopping rule, we establish the stability and regularization properties of the method. Finally, some numerical experiments on parameter identification in partial differential equations by boundary as well as interior measurements are provided to validate the effectiveness of the proposed method. (C) 2020 Elsevier B.V. All rights reserved.
机译:本文提出并分析了一种新的求解反问题的Kaczmarz型方法,该方法可以写成Banach空间中的非线性算子方程组。该方法将同伦摄动迭代和Kaczmarz方法与一致凸惩罚项相结合。允许罚项是非光滑的,包括L-1和罚泛函等全变分,以重构解的特殊特征,如稀疏性和分段恒常性。为了加速迭代,我们引入了一个复杂的规则来确定每次迭代的步长。在一定条件下,我们给出了该方法在精确数据情况下的收敛结果。当数据近似给定时,结合合适的停止规则,我们建立了该方法的稳定性和正则化性质。最后,通过边界和内部测量对偏微分方程的参数识别进行了数值实验,验证了该方法的有效性。(C) 2020爱思唯尔B.V.版权所有。

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