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拉格朗日差值与最小二乘法拟合，c语言实现-Lagrangian difference with the least square method, c language
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用C#编写的多元线性回归的最小二乘法，实现曲线的拟合~~
-Written in C# using multiple linear regression least square method, fitting a curve ~ ~
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将一个数分成最少几个数的平方和，利用动态规划法求解-A number divided into at least several square and using dynamic programming method
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最小二乘法代码，利用最小二乘法可以简便地求得未知的数据，并使得这些求得的数据与实际数据之间误差的平方和为最小-least square method
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最小二乘估计算法实现，经验证，结果正确，推荐使用-The least square method
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用最小二乘法拟合二元多次曲线
已知点的x坐标集合
已知点的y坐标集合
已知点的个数方程的最高次
二元多次线性方程拟合曲线(Fitting two yuan multiple curves with least square method
X coordinate set of known points
Y coordinate set of known points
The highest degree of the equation of the number of known points
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通过c语言编程，实习最小二乘法的功能，求解运算(Through the C language programming, practice the least square method function)
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可以利用某验潮站一定观测周期内的水位数据进行调和分析（最小二乘法）求解出十一个主要分潮的潮汐调和常数(The harmonic constants of eleven main tidal components can be obtained by harmonic analysis of water level data in a certain observation period of a tide gauge station (least square method).)
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