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.

Авторы
Kryanev A.1, 2 , Ivanov V. 1, 2 , Romanova A.1 , Sevastianov L. 2, 3 , Udumyan D. 1, 3, 4
Сборник материалов конференции
Издательство
EDP Sciences
Язык
Английский
Статус
Опубликовано
Номер
03014
Том
173
Год
2018
Организации
  • 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
Дата создания
19.10.2018
Дата изменения
19.10.2018
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/6849/
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