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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Alberto De Marchi

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Preprint Aug 2026

Envelopt: Constrained Convex Composite Optimization

We introduce Envelopt, a globally convergent iterative framework for a broad class of structured optimization problems where a smooth objective is augmented by a nonsmooth convex regularizer composed with a smooth mapping, and the variables are subject to general smooth constraints. All smooth functions may be nonconve...

Alberto De Marchi, Dominique Orban · 0 citations
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, possibly nonconvex optimization in a Hilbert space with inequality constraints ordered by a cone in a Banach lattice, with particular emphasis on infinite-dimensional state-constrained optimal control. The objective function is given by the sum of a smooth, possi...

Behzad Azmi, Alberto De Marchi · 0 citations
Preprint Aug 2026

Dynamic Proximal Point Method for Unconstrained Minimization

The reduced linear system used to compute the Newton step is derived, the corresponding merit function is defined, and practical approaches for constructing the diagonal scaling matrix from derivative information are discussed.

E. Bertolazzi, Alberto De Marchi, Davide Stocco · 0 citations

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