ملف الباحث

Andrei Pătraşcu

ورقة واحدة في مجموعة PaperMetrix

المنشورات

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  1. On convergence of inexact projection gradient method for strongly convex minimization

    2017

    Dual methods can handle easily complicated constraints in convex problems, but they have typically slow (sublinear) convergence rate in an average primal point, even when the original problem has smooth strongly convex objective function. Primal …