A generalization of the Solis–Wets method

In this paper we focus on the application of global stochastic optimization methods to extremum estimators. We propose a general stochastic method—the master method—which includes several stochastic optimization algorithms as a particular case. The proposed method is sufficiently general to include the Solis–Wets method, the improving hit-and-run algorithm, and a stochastic version of the zigzag algorithm. A matrix formulation of the master method is presented and some specific results are given for the stochastic zigzag algorithm. Convergence of the proposed method is established under a mild set of conditions, and a simple regression model is used to illustrate the method.