摘要
在实验数据处理中分别运用最小二乘法和拉格朗日插值方法把得到的数据进行拟合,对比两种拟合结果,结合两者的优势,整合成一个新的拟合方程作为处理实验数据的结果,并进行了实例验证.验证结果表明,运用这种改进的数值方法得到的结果更为精确,更适合实验数据处理.
Least squares method and Lag, range interpolation method were used to fit experimental data, the fitting results were compared, their advantages were combined to integrate into a new fitting equation as experimental data processing results, and then example was taken to verify it. The results showed that this improved numerical method to analyze the experiment is more accurate and suitable for processing experime^ltal data.
出处
《西南民族大学学报（自然科学版）》
CAS
2015年第3期356-359,共4页
Journal of Southwest Minzu University(Natural Science Edition)
基金
国家自然科学基金资助项目(51408182)
河北省科技厅资助项目(14964206D-07)
邯郸市科技计划项目(1423109059-8)
关键词
最小二乘法
拉格朗日插值法
实验数据处理
least squares method
Lagrartge interpolation method
experimental data processing
