Wednesday, 05 April 2017, 15:00 at MR 14, Centre for Mathematical Sciences – In this talk, a local convergence result for abstract descent methods in non-convex optimization is presented. In particular, the analysis is tailored to inertial methods. The result can be summarized as follows: The sequence of iterates is attracted by a local (or global) minimum, stays in its neighborhood and converges …