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math.OC2017
Ghost Penalties in Nonconvex Constrained Optimization: Diminishing Stepsizes and Iteration Complexity
Francisco Facchinei, Vyacheslav Kungurtsev, Lorenzo Lampariello +1
We consider nonconvex constrained optimization problems and propose a new approach to the convergence analysis based on penalty functions. We make use of classical penalty function…
math.OC2017★ 12 cited
Asynchronous Parallel Algorithms for Nonconvex Big-Data Optimization. Part II: Complexity and Numerical Results
Loris Cannelli, Francisco Facchinei, Vyacheslav Kungurtsev +1
We present complexity and numerical results for a new asynchronous parallel algorithmic method for the minimization of the sum of a smooth nonconvex function and a convex nonsmooth…