**Mar 14, 2017, 4pm**

PDL C-401

**Abe Engle, ***Department of Mathematics**, University of Washington*

*Abstract: *We discuss a Gauss-Newton methodology for minimizing convex compositions of smooth functions. We analyze current local rates of quadratic convergence when the subproblems are exactly solved and propose inexact methods that relax current sharpness assumptions while maintaining speeds of convergence.