利用MATLAB曲线拟合工具箱求离散点的拟合曲线
Utilize the curve-fitting toolbox of MATLAB to seek fitted curve of some disciete points
曲线拟合是数值分析中的一种普遍且重要的方法，求解拟合曲线的方法也有很多.本文主要介绍利用MATLAB曲线拟合工具箱对离散数据点做拟合处理，并与利用最小二乘法求相应的拟合曲线的方法做对比，突出MATLAB曲线拟合工具箱的优点，并阐述了其适用范围.最后通过利用MATLAB曲线拟合工具箱对实例中离散数据的拟合来具体说明它的使用方法和优点。
urve fitting is a common and important method in numerical analysis and there are a lot of approaches for solving fitted curve. This paper mainly introduce the method that utilize the Curve- Fitting Toolbox of MATLAB to fit some discrete data points and contrast with the method of the minimum squares. Through the contrast, it highlight the advantage of MATLAB Curve-Fitting Toolbox and elaborate its scope. At last, this paper specify the usage and the advantage of MATLAB Curve- Fitting Toolbox by example.
陈巍
计算技术、计算机技术
数值分析MATLAB曲线拟合最小二乘法
numerical analysisMATLABurve-Fittingminimum squares
陈巍.利用MATLAB曲线拟合工具箱求离散点的拟合曲线[EB/OL].(2010-07-01)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/201007-14.点此复制
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