Metric analysis and applications

Authors

  • A.V. Kryanev
  • G.V. Lukin
  • D.K. Udumyan

Keywords:

metric analysis
functions of several variables,
interpolation
extrapolation
forecasting of time series

Abstract

A new approach to the interpolation of functions of one or several variables and to the time series forecasting (extrapolation) as well as some schemes and algorithms based on it are proposed. This approach is called the metric analysis. The metric analysis shows a high accuracy in interpolating the functions of several variables, even in the case of a comparatively small number of points with known function values. It is found that the metric analysis allows one to extrapolate and forecast the values of functions of a wider class than the known singular spectrum analysis.


Downloads

Published

2009-12-15

Issue

Section

Section 1. Numerical methods and applications

Author Biographies

A.V. Kryanev

G.V. Lukin

D.K. Udumyan


References

  1. Kryanev A.V., Lukin G.V. Metric analysis for interpolation and forecasting of functions of several variables. Preprint № 003-2005. M.: MEPHI, 2005.
  2. Golyandina N., Nekrutkin V., Zhiglyavskiy A. Analysis of time series structure. SSA and related techniques. London: Chapman & Hall, 2001.
  3. Goncharov V.L. Theory of interpolation and approximation of functions. M.: Gostekhizdat, 1954.
  4. Berezin I.S., Zhidkov N.P. Calculation methods. Vol. 1. M.: Fizmatlit, 1962.
  5. Zavyalov Yu.S., Kvasov B.I., Miroshnichienko V.L. Methods of spline functions. M.: Nauka, 1980.
  6. Vasilenko V.A. Spline functions: theory, algorithms, programs. Novosibirsk: Nauka, 1983.
  7. Kornieychuk N.P. Splines in theory of approximation. M.: Nauka, 1984.
  8. Morozov V.A. Regular methods of solving of incorrect problems. M.: Nauka, 1987.
  9. Jezhov A.A., Shumskij S.A. Neurocomputing and its applications. M.: MEPHI, 2000.
  10. Gantmakher F.R. Theory of matrices. M.: Nauka, 1967.
  11. Albert A. Regression, pseudo inversion and recurrent evaluation. M.: Nauka, 1977.
  12. Pytyev Yu.P. Mathematical methods of experiment interpretation. M.: Vysshaya Shkola, 1989.