scipy.optimize.HessianUpdateStrategy.
update#
- HessianUpdateStrategy.update(delta_x, delta_grad)[source]#
- Update internal matrix. - Update Hessian matrix or its inverse (depending on how ‘approx_type’ is defined) using information about the last evaluated points. - Parameters:
- delta_xndarray
- The difference between two points the gradient function have been evaluated at: - delta_x = x2 - x1.
- delta_gradndarray
- The difference between the gradients: - delta_grad = grad(x2) - grad(x1).