Least-squares fitting of data by polynomials

被引：15
|
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
收藏
页码：46 / 51
页数：6
相关论文
共 50 条
12345