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Showing 1 to 1 of 1 for “"convex optimization, non-smooth optimization, semismooth function, sum of eigenvalues"”.

  1. Smooth convex approximation and its applications

    In this thesis, we consider a smooth convex approximation to the sum of the $\kappa$ largest components. To make it applicable to a wide class of applications, the study is conducted on some minmax problems. Based on a special smoothing technique, we give an efficient scheme for nonsmooth convex

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