scipy.leastsq最小化一组方程的平方和$x=\underset{y}{\argmin}{(\sum{f^2(y), axis=0})}$scipy.optimize.leastsq(func，x0，args = ()，Dfun = None，full_output = 0，col_deriv = 0，ftol = 1.49012e-08，xtol = 1.49012e-08，gtol = 0.0，maxfev = 0，epsfcn = None，factor = 100，diag = None)func: 误差函数x0: 初始坐标点args: 传入参数 配合func使用网上例 ...