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Regularization Analysis of Integral Iteration Method and the Choice of Its Optimal Step-Length
详细信息   
摘要
Based on Kirscht’s regularizing filter theory, the regularizing filter of integral iteration method is deduced and then, the method is proved to be a regularization method for ill-posed problem in inverse problem of potential field downward continuation. The optimal iteration step-length choice of integral iteration method is put forward for solving its slow convergence speed problem which is derived from its fixed iteration step- length. The result shows that the integral iteration method’s convergence speed numbers are reduced effectively by becomes faster and its continuation the optimal step-length and the precision becomes more accurate.

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