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KIAM Preprint ¹ 2, Moscow, 2009
Authors: Lavrik D.A., Pergament A.Kh.
The Regularized Algorithms of Statistical Estimation of Functions
Abstract:
The regularized algorithms of filtration are supported and investigated. Hereby optimal of the information point of view M – parametric approximations of required function are used. The approximation parameters are determined by a maximum likelihood method. The number of parameters is defined by χ2 criterion. The results of 1D and 2D modeling problems are represented.
Publication language: russian,  pages: 20
Research direction:
Mathematical modelling in actual problems of science and technics
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About authors:
  • Lavrik D. A.,  KIAM RAS
  • Pergament A. Kh.,  KIAM RAS