已知离散点上的数据集 ，即已知在点集 上的函数值 ，构造一个解析函数（其图形为一曲线）使 在原离散点 上尽可能接近给定的 值，这一过程称为曲线拟合。最常用的曲线拟合方法是最小二乘法，该方法是寻找函数 使得最小

Packet : Matlab曲线拟合 最小二乘法 polyfit.rar filelist
Matlab曲线拟合 最小二乘法 polyfit.doc

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