文件名称:curving
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利用此函数可以在最小二乘意义上解决非线性曲线拟合(数据
拟合)问题。也就是说,给定输入数据xdata,以及观测的输出数据ydata,找到系数x,使
得函数F(x,xdata)能够最好的拟合向量值-MLS method not only can be applied for the purpose of curve (or surface) fitting,
but also curve (or surface) interpolation when compactly supported singular weighted
function was used. The effective measure has been applied to eliminate singularity in
MLS interpolation. In addition, the bad fitting or interpolation accuracy near the
boundary was improved.
拟合)问题。也就是说,给定输入数据xdata,以及观测的输出数据ydata,找到系数x,使
得函数F(x,xdata)能够最好的拟合向量值-MLS method not only can be applied for the purpose of curve (or surface) fitting,
but also curve (or surface) interpolation when compactly supported singular weighted
function was used. The effective measure has been applied to eliminate singularity in
MLS interpolation. In addition, the bad fitting or interpolation accuracy near the
boundary was improved.
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下载文件列表
曲线拟合向导.pdf