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The Best Disturbed Iteration for Inverse Problem of the Dispersion Coefficient in Water Quality

机译:水质弥散系数反问题的最佳扰动迭代

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摘要

The parameter identification inverse problem is a kind of important practical problem in many science fields. The method was established in this paper that on basis of function approach and Tikhonov regularization method, used operator identifies disturbed iteration method and linearization technology. The method called the best disturbed iteration method. The inverse problem of the dispersion coefficient in water quality was solved in the paper. The results of numerical simulation show that the method has a higher accuracy and a quicker convergent speed. And it is stability well, then worth of practical application.
机译:参数识别逆问题是许多科学领域中的一种重要的实际问题。建立了基于函数法和Tikhonov正则化方法,利用算子识别扰动迭代法和线性化技术的方法。该方法称为最佳干扰迭代法。解决了水质中弥散系数的反问题。数值仿真结果表明,该方法具有较高的精度和较快的收敛速度。而且它的稳定性很好,因此值得实际应用。

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