Connaissance 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 for each iteration, the number of function calls is in the order of N², joli for a simpler pure gradient optimizer https://cassp765dti3.shopping-wiki.com/user