The least square method, also known as the least square method, is a mathematical optimization technology. It searches for the best function matching of data by minimizing the sum of squares of errors. The least squares method can be used to get the unknown data simply and make the sum of squares between the obtained data and the actual data smallest. The least square method can also be used for curve fitting. Some other optimization problems can also be expressed by least squares method by minimizing energy or maximizing entropy.

Filename	Size	Update
最小二乘.m	2298	2018-02-10

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