On the convergence of Clarke's generalized gradient method in minimization problems of Lipschitz functions (Q1803088)

The author gives an algorithm for finding the stationary points for the minimization problem \(q(x)\to\min\), \(x\in E_ n\), where \(q: E_ n\to\mathbb{R}\) is a locally Lipschitz function. One states the convergence and stability of the algorithm, and are given estimates of its speed of convergence. A minimization problem with an inequality constraint is also studied.