Information technologies and computer sciences

Multimensional polynomial approximation of interval data dependences by least squares method

Authors

R. N. Kvietnyi
Vinnytsia National Technical University ROR
O. R. Boiko
Vinnytsia National Technical University ROR
T. O. Stepova
Vinnytsia National Technical University ROR

Keywords

polynomial approximation interval gaussian method least squares method interval analysis

Abstract

Multidimensional polynomial approximation of interval data dependences by least squares method is considered in the paper. To define the efficiency the programs were tested on both interval and non-interval values. The method allows to increase accuracy in the tasks of processing experimental data, set in the conditions of uncertainty
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How to Cite

[1]
“Multimensional polynomial approximation of interval data dependences by least squares method”, Вісник ВПІ, no. 3, pp. 103–106, Nov. 2010, Accessed: Oct. 03, 2026. Available: https://visnyk.vntu.edu.ua/index.php/visnyk/article/view/1439

Author Biographies

R. N. Kvietnyi, Vinnytsia National Technical University
завідувач кафедри
O. R. Boiko, Vinnytsia National Technical University
старший викладач
T. O. Stepova, Vinnytsia National Technical University
студентка

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