Dual Greedy Algorithm for Conic Optimization Problem
نویسندگان
چکیده
In the paper we propose an algorithm for nding approximate sparse solutions of convex optimization problem with conic constraints and examine convergence properties of the algorithm with application to the index tracking problem and unconstrained l1-penalized regression.
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تاریخ انتشار 2016