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Interior-point proximal methods for nonsmooth optimization in Hilbert spaces with cone-ordered constraints

Azmi, Behzad et al.
arXiv (OAI Expanded) · Papers
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optimization-and-controlsystems-and-control
We study an inexact interior-point method for nonsmooth, nonconvex optimization problems with conic inequality constraints. The objective function is given by the sum of a smooth, possibly nonconvex term and a convex, possibly nonsmooth term with a computable proximal mapping. The constraints are fo
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