Least-squares fitting of data by polynomials

被引：19

作者：

Dyer, SA

He, X

机构：

来源：

IEEE INSTRUMENTATION & MEASUREMENT MAGAZINE | 2001年 / 4卷 / 04期

关键词：

D O I：

10.1109/5289.975465

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

An alternative approach to approximation is presented. The approach involves fitting a curve to a set of data without restricting that curve to coincide with the data points. Focus is on least-squares approximation, and, in particular, least-squares fitting of polynomials to data.

引用

页码：46 / 51

页数：6

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