Huber M-estimator cost function is the most popular cost function used in the robust linear regression to deemphasize outliers. Recently, Mangasarian and Musicant have proposed a quadratic programming model for Huber M-estimator and have shown that it is computationally efficient. In this paper, we apply a generalized Newton method to their quadratic programming model and examine its efficiency.
