Newton's method may fail to recognize proximity to optimal points in constrained optimization.

We will show examples in which the primal sequence generated by the Newton-Lagrange method converges to a strict local minimizer of a constrained optimization problem but the gradient of the Lagrangian does not tend to zero, independently of the choice of the dual sequence. [ABSTRACT FROM AUTHOR]