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Newton type iteration for Tikhonov regularization of non-linear ill-posed Hammerstein type equations

机译:牛顿型迭代,用于非线性不适定Hammerstein型方程的Tikhonov正则化

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摘要

An iterative method is investigated for a nonlinear ill-posed Hammerstein type operator equation KF(x) = f. We use a center-type Lipschitz condition in our convergence analysis instead of the usual Lipschitz condition. The adaptive method of Pereverzev and Schock (SIAM J. Numer. Anal. 43(5):2060–2076, 2005) is used for choosing the regularization parameter. The optimality of this method is proved under a general source condition involving the Fréchet derivative of F at some initial guess x_0. A numerical example of nonlinear integral equation shows the efficiency of this procedure.
机译:研究了一种非线性不适定Hammerstein型算子方程KF(x)= f的迭代方法。我们在收敛分析中使用中心类型的Lipschitz条件,而不是通常的Lipschitz条件。 Pereverzev和Schock的自适应方法(SIAM J. Numer。Anal。43(5):2060-2076,2005)用于选择正则化参数。在一般来源条件下,在某些初始猜测值x_0处涉及F的Fréchet导数,证明了该方法的最优性。非线性积分方程的数值示例说明了该过程的有效性。

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