一种改进的程序法求解最小二乘多项式系数

Solve the Least Square Curve Fitting Polynomial Coefficient with Improved Program

文章简单介绍根据最小二乘多项式求解过程中生成正规多项式系数矩阵的特点,借助于矩阵压缩存储的思想,使用一维数组存放系数矩阵的各项的值。此算法在时间复杂度和空间复杂度上均有较大改进。最后通过实验证明此算法的正确性,并为在工程分析计算中运用此方法提供较好的样例。

In this paper,the author simply introduced the feature of Coefficient matrix in the progress of Solve the Least Square Curve Fit ting Polynomial Coefficient.With the help of compressing storage of matrix,this paper saves dates of matrix by using One-dimensional ar ray.This arithmetic great reduces time complexity and space complexity.Empirical results show the Correctness of this arithmetic and give a good example in engineering analysis calculations.