A Method for Finding Sharp Error Bounds for Newton's Method Under the Kantorovich Assumptions.
With the aid of Markov Chain Monte Carlo methods we can sample even from complex multi-dimensional distributions which cannot be exactly calculated. Thus, an application to the problem of knowledge integration (e. g. in expert systems) is straightforward.