Implementing of an inexact (approximate) Newton algorithm in Python using conjugate gradient
Implementing of an inexact (approximate) Newton algorithm in Python using conjugate gradient Question: I want to implement in Python an inexact (approximate) Newton algorithm given by pseudocode: Data: We have an x_0 in R^n and we let a function f:R^n->R, with positive hessian, 0<c1<1, 0<rho<1 The result: the result is to estimate the global minimum …