Tractable continuous approximations for constraint selection via cardinality minimization
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difference of convex programming
Error Bound and Isocost Imply Linear Convergence of DCA-based Algorithms to D-stationarity
We consider a class of structured nonsmooth difference-of-convex minimization, which can be written as the difference of two convex functions possibly nonsmooth with the second one in the format of the maximum of a finite convex smooth functions. We propose two extrapolation proximal difference-of-convex based algorithms for potential acceleration to converge to a weak/standard d-stationary … Read more
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In this paper we consider the linear convergence of algorithms for minimizing difference- of-convex functions with convex constraints. We allow nonsmoothness in both of the convex and concave components in the objective function, with a finite max structure in the concave compo- nent. Our focus is on algorithms that compute (weak and standard) d(irectional)-stationary points … Read more
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