最小二乘法拟合我要分享

Least squares fitting

matlab 乘法 最小 拟合

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中文说明:最小二乘法(又称最小平方法)是一种数学优化技术。它通过最小化误差的平方和寻找数据的最佳函数匹配。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。最小二乘法还可用于曲线拟合。其他一些优化问题也可通过最小化能量或最大化熵用最小二乘法来表达。


English Description:

Least square (also known as the method of least squares) is a mathematical optimization techniques. By minimizing the sum of squared errors of data to find the best matching function. Can be easily obtained using least squares unknown data and calculated by the sum of squared errors between the data and the actual data for the smallest. Least squares method can also be used for curve fitting. Some other optimization problem by minimizing the energy or maximum entropy least squares to express.


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