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Behzad Azmi

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Preprint Sep 2026

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

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 formulated by means of...

Behzad Azmi, Alberto De Marchi · 0 citations

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