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 connaissance each iteration, the number of function calls is in the order of N², but connaissance a simpler pure gradient optimizer https://benjamina109oev8.blazingblog.com/profile