2014Journal of Shanxi Datong UniversityRequires access

A General Data Fitting Method Based on MATLAB

Song Xiao-xi

Open publisher page 5 citations

Abstract

This paper introduces a general data fitting method based on MATLAB in some applications, such as experimental data processing and statistical data analysis. Firstly, a general polynomial data fitting method is designed. Then we illustrate that the rule of this fitting method is the least square method and its theory support is the function approximation theory. Finally two specific examples are used to verify thee ffectiveness and generality of the proposed fitting method.

About this research paper

What this paper is about

This paper introduces a general data fitting method based on MATLAB in some applications, such as experimental data processing and statistical data analysis. Firstly, a general polynomial data fitting method is designed. Then we illustrate that the rule of this fitting method is the least square method and its theory support is the function approximation theory. Finally two specific examples are used to verify thee ffectiveness and generality of the proposed fitting method.

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OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper introduces a general data fitting method based on MATLAB in some applications, such as experimental data processing and statistical data analysis. Firstly, a general polynomial data fitting method is designed. Then we illustrate that the rule of this fitting method is the least square method and its theory support is the function approximation theory. Finally two specific examples are used to verify thee ffectiveness and generality of the proposed fitting method.

Key concepts: MATLAB, Curve fitting, Generality, Computer science, Polynomial and rational function modeling, Algorithm, Polynomial, Function (biology)

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