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For approximations of the 2nd derivatives (collected in the Hessian matrix), the number of function evaluations is in the order of N². Newton's method requires the 2nd-order derivatives, so intuition each iteration, the number of function calls is in the order of N², joli for a simpler Naturel gradient optimizer it is only N. However, gradient op