
Creation of a Program for Finding an Approximating Function of the Obtained Experimental Results by the Method of Least Squares
Author(s) -
N. Kadyrkulova,
Vladimir Zhulev
Publication year - 2021
Publication title -
bûlletenʹ nauki i praktiki
Language(s) - English
Resource type - Journals
ISSN - 2414-2948
DOI - 10.33619/2414-2948/73/46
Subject(s) - least squares function approximation , function (biology) , selection (genetic algorithm) , point (geometry) , task (project management) , mathematics , data point , computer science , mathematical optimization , algorithm , statistics , artificial intelligence , engineering , geometry , evolutionary biology , biology , systems engineering , estimator
When solving engineering and economic problems, it is often necessary to obtain mathematical relationships between various parameters characteristic of a given problem. As a rule, all physical experiments are reduced to measuring the dependence of a certain quantity u on one or several other quantities z1, z2,…, zn. The main task of using the least squares method as an approximation method from the point of view of approximate recovery of a function from its known values at a number of points is the selection of empirical formulas that allow an analytical presentation of the obtained experimental measurement data. This article discusses the problems of obtaining data and approximating a function by the least squares method using OOP.