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Extrapolation of Functions of Many Variables by Means of Metric Analysis

Authors :
Victor Ivanov
Anastasiya Romanova
David Udumyan
Alexandr Kryanev
Leonid A. Sevastianov
Source :
EPJ Web of Conferences, Vol 173, p 03014 (2018)
Publication Year :
2018
Publisher :
EDP Sciences, 2018.

Abstract

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.

Details

ISSN :
2100014X
Volume :
173
Database :
OpenAIRE
Journal :
EPJ Web of Conferences
Accession number :
edsair.doi.dedup.....588d588d59e5139c9151ae4afb11bf13
Full Text :
https://doi.org/10.1051/epjconf/201817303014