Extrapolation of Functions of Many Variables by Means of Metric Analysis

The paper considers a problem of extrapolating functions of several variables. It is assumed that the values of the function of m variables at a finite number of points in some domain D of the m-dimensional space are given. It is required to restore the value of the function at points outside the domain D. The paper proposes a fundamentally new method for functions of several variables extrapolation. In the presented paper, the method of extrapolating a function of many variables developed by us uses the interpolation scheme of metric analysis. To solve the extrapolation problem, a scheme based on metric analysis methods is proposed. This scheme consists of two stages. In the first stage, using the metric analysis, the function is interpolated to the points of the domain D belonging to the segment of the straight line connecting the center of the domain D with the point M, in which it is necessary to restore the value of the function. In the second stage, based on the auto regression model and metric analysis, the function values are predicted along the above straight-line segment beyond the domain D up to the point M. The presented numerical example demonstrates the efficiency of the method under consideration. © 2018 The Authors, published by EDP Sciences.

Authors
Kryanev A.1, 2 , Ivanov V. 1, 2 , Romanova A.1 , Sevastianov L. 2, 3 , Udumyan D. 1, 3, 4
Conference proceedings
Publisher
EDP Sciences
Language
English
Status
Published
Number
03014
Volume
173
Year
2018
Organizations
  • 1 National Research Nuclear University mEPhI, Moscow, Russian Federation
  • 2 Joint Institute for Nuclear Research (JINR), Dubna, Moscow region, Russian Federation
  • 3 Peoples' Frendship University of Russia, PFUR University, Moscow, Russian Federation
  • 4 University of Miami, United States
Date of creation
19.10.2018
Date of change
19.10.2018
Short link
https://repository.rudn.ru/en/records/article/record/6849/
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