2009•Journal of Inner Mongolia University for the NationalitiesRequires access

The Realization of Curve Fitting with Matlab

Mingyuan Li

Open publisher page 4 citations

Abstract

Firstly,the polynomial coefficients of fitting function are achieved by calling the least-squares fitting order of MATLAB under the MATLAB Notebook environment.Secondly,the method to select the best order number of fitting function is given combining with visual graphics.In addition,a graphical user interface programs are given to the fitting functions whose polynomial order no more than 10 so that more low-order fitting is simple,intuitive and clear.

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What this paper is about

Firstly,the polynomial coefficients of fitting function are achieved by calling the least-squares fitting order of MATLAB under the MATLAB Notebook environment.Secondly,the method to select the best order number of fitting function is given combining with visual graphics.In addition,a graphical user interface programs are given to the fitting functions whose polynomial order no more than 10 so that more low-order fitting is simple,intuitive and clear.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Firstly,the polynomial coefficients of fitting function are achieved by calling the least-squares fitting order of MATLAB under the MATLAB Notebook environment.Secondly,the method to select the best order number of fitting function is given combining with visual graphics.In addition,a graphical user interface programs are given to the fitting functions whose polynomial order no more than 10 so that more low-order fitting is simple,intuitive and clear.

Key concepts: MATLAB, Curve fitting, Polynomial, Polynomial and rational function modeling, Computer science, Function (biology), Graphics, Simple (philosophy)

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