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首页> 外文期刊>Journal of Mathematical Analysis and Applications >On a suboptimal filtration method for solving convolution-type integral equations of the first kind
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On a suboptimal filtration method for solving convolution-type integral equations of the first kind

机译:关于求解第一类卷积型积分方程的次优过滤方法

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In this paper a so-called local regularization method (Arsenin er al., USSR Comput. Math. Math. Phys. 28(3) (1988), 113-125; Arsenin and Timinov, Soviet Math. Dokl. 32(2) (1985). 566-570; Tikhonov et al., "Mathematical Problems of Computer Tomography," Nauka, Moscow, 1987) for solving convolution-type integral equations of the first kind is analyzed. It is shown that to increase the precision of the solution, it is appropriate to do only one approximation in the iterative scheme of this method. It is also shown that this method should not be interpreted as a method with variable regularization parameter a; one should view it as a method of suboptimal filtration. A new variant of a suboptimal filtration method is formulated, (C) 1998 Academic Press. [References: 17]
机译:在本文中,一种所谓的局部正则化方法(Arsenin等人,苏联计算机科学数学物理28(3)(1988),113-125; Arsenin和Timinov,苏联数学Dokl.32(2) (1985)。566-570; Tikhonov等人,“计算机层析成像的数学问题”,Nauka,莫斯科,1987年),用于解决第一类卷积型积分方程。结果表明,为提高解的精度,在此方法的迭代方案中仅做一个近似是合适的。还表明,该方法不应解释为具有可变正则化参数a的方法。人们应该将其视为次优过滤的一种方法。制定了次优过滤方法的新变体,(C)1998 Academic Press。 [参考:17]

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