The least square method (also called the least square method) is a mathematical optimization technique. It matches the best function of finding the data by minimizing the square of the error. By using the least squares method, the unknown data can be easily obtained, and the sum of the square sum of the error between the obtained data and the actual data is minimized. The least square method can also be used for curve fitting. Some other optimization problems can also be expressed by least square method by minimizing energy or maximizing entropy.

Filename	Size	Update
chap2_1.m	2319	2017-12-06

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