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Yu. L. Menshikov and A. G. Nakonechnij, “Principle of Maximum Stability in Inverse Problems under Minimum a Priori Initial Information,” Proceedings of International Conference PDMU-2003, Kiev-Alushta, 8-12 September 2003, pp. 80-82.
has been cited by the following article:
TITLE: Inverse Problems for Dynamic Systems: Classification and Solution Methods
AUTHORS: Menshikov Yu
KEYWORDS: Inverse Problems; Dynamic Systems; Classification; Regularization; Estimation
JOURNAL NAME: Advances in Pure Mathematics, Vol.3 No.4, July 1, 2013
ABSTRACT: The inverse problems for motions of dynamic systems of which are described by system of the ordinary differential equations are examined. The classification of such type of inverse problems is given. It was shown that inverse problems can be divided into two types: synthesis inverse problems and inverse problems of measurement (recognition). Each type of inverse problems requires separate approach to statements and solution methods. The regularization method for obtaining of stable solution of inverse problems was suggested. In some cases, instead of recognition of inverse problems solution, the estimation of solution can be used. Within the framework of this approach, two practical inverse problems of measurement are considered.
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