unified methods

Tuesday, January 26, 2016 - 11:30am - 12:20pm
Hongchao Zhang (Louisiana State University)
In this talk, we will discuss extending the optimal gradient methods for solving convex optimization to deal with more general nonlinear, possibly nonconvex and nonsmooth, optimization problems. These algorithms will treat the nonconvex and convex optimization problems in a unified way so that they will achieve the best known complexity for solving a more general class of optimization problems.
Both the well-studied techniques for nonlinear programming and the techniques
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