2010Journal of Daqing Normal UniversityRequires access

Comparison and Analysis of Three Order being Ssuitable for Data Fitting in MATLAB

Hongli Zhang

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Abstract

This paper bases on least squares for data fitting three orders nlinfit ( ) ,lsqnonlin ( ) ,lsqcurvefit ( ) are studied,and presents some practical examples. In these three orders through examples of differences in concrete analysis for our practice according to different purpose to choose the appropriate data fitting method,fast and accurate data fitting,solve the problems between the established mathematical model of variable has certain directive significance.

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What this paper is about

This paper bases on least squares for data fitting three orders nlinfit ( ) ,lsqnonlin ( ) ,lsqcurvefit ( ) are studied,and presents some practical examples. In these three orders through examples of differences in concrete analysis for our practice according to different purpose to choose the appropriate data fitting method,fast and accurate data fitting,solve the problems between the established mathematical model of variable has certain directive significance.

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Available abstract

This paper bases on least squares for data fitting three orders nlinfit ( ) ,lsqnonlin ( ) ,lsqcurvefit ( ) are studied,and presents some practical examples. In these three orders through examples of differences in concrete analysis for our practice according to different purpose to choose the appropriate data fitting method,fast and accurate data fitting,solve the problems between the established mathematical model of variable has certain directive significance.

Key concepts: MATLAB, Curve fitting, Computer science, Variable (mathematics), Experimental data, Algorithm, Order (exchange), Applied mathematics

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