Description: Method of least squares curve fitting of the experimental cases: known function y = f (x) of a table: x 0 10 20 30 40 50 60 70 80 90 y 68 67.1 66.4 65.6 64.6 61.8 61.0 60.8 60.4 60 test requirements: the use of The linear least squares curve fitting has been close to seeking a function f (x) at the point x = 55 Office of approximation and the experimental data and draw a straight line
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曲线拟合的最小二乘法.cpp
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