Enrico Gorgone

Available identifiers

zbMath Open gorgone.enricoMaRDI QIDQ683920

List of research outcomes

Publication	Date of Publication	Type
Ellipsoidal classification via semidefinite programming	2023-06-28	Paper
Polyhedral separation via difference of convex (DC) programming	2022-11-22	Paper
High quality timetables for Italian schools	2022-09-27	Paper
Node-based Lagrangian relaxations for multicommodity capacitated fixed-charge network design	2022-01-05	Paper
A new extended formulation with valid inequalities for the capacitated concentrator location problem	2021-06-03	Paper
Quasi-separable Dantzig-Wolfe reformulations for network design	2021-02-04	Paper
Feature selection in SVM via polyhedral \(k\)-norm	2020-02-27	Paper
Lagrangian relaxation for SVM feature selection	2018-07-11	Paper
A Lagrangian heuristic algorithm for the time‐dependent combined network design and routing problem	2018-06-13	Paper
On the computational efficiency of subgradient methods: a case study with Lagrangian bounds	2018-02-21	Paper
Dynamic smoothness parameter for fast gradient methods	2018-02-09	Paper
A method for convex minimization based on translated first-order approximations	2017-11-24	Paper
A library for continuous convex separable quadratic knapsack problems	2015-07-28	Paper
Bundle methods for sum-functions with ``easy components: applications to multicommodity network design	2014-06-27	Paper
A Nonmonotone Proximal Bundle Method with (Potentially) Continuous Step Decisions	2013-12-13	Paper
Piecewise-quadratic Approximations in Convex Numerical Optimization	2012-03-16	Paper
Data preprocessing in semi-supervised SVM classification	2011-05-03	Paper
Separation of convex sets by Clarke subdifferential	2011-01-20	Paper
Nonsmooth optimization: Theory and algorithms	2010-05-21	Paper
Gradient set splitting in nonconvex nonsmooth numerical optimization	2010-05-21	Paper
Piecewise linear approximations in nonconvex nonsmooth optimization	2009-07-24	Paper
Non-smoothness in classification problems	2009-02-23	Paper

Research outcomes over time

Doctoral students

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