Simone Sagratella | Ricerc@Sapienza

Pubblicazioni

Titolo	Pubblicato in	Anno
The Standard Pessimistic Bilevel Problem	SIAM JOURNAL ON OPTIMIZATION	2019
A Gray-Box Approach for Curriculum Learning	Optimization of Complex Systems: Theory, Models, Algorithms and Applications	2019
Case—Production and Distribution Optimization of Beach Equipment for the Marinero Company	TRANSACTIONS ON EDUCATION	2019
Parallel decomposition methods for linearly constrained problems subject to simple bound with application to the SVMs training	COMPUTATIONAL OPTIMIZATION AND APPLICATIONS	2018
Sufficient conditions to compute any solution of a quasivariational inequality via a variational inequality	MATHEMATICAL METHODS OF OPERATIONS RESEARCH	2017
A Bridge Between Bilevel Programs and Nash Games	JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS	2017
Computing equilibria of Cournot oligopoly models with mixed-integer quantities	MATHEMATICAL METHODS OF OPERATIONS RESEARCH	2017
Algorithms for generalized potential games with mixed-integer variables	COMPUTATIONAL OPTIMIZATION AND APPLICATIONS	2017
Canonical Dual Approach for Contact Mechanics Problems with Friction	Canonical Duality Theory Unified Methodology for Multidisciplinary Study	2017
Computing all solutions of Nash equilibrium problems with discrete strategy sets	SIAM JOURNAL ON OPTIMIZATION	2016
A canonical duality approach for the solution of affine quasi-variational inequalities	JOURNAL OF GLOBAL OPTIMIZATION	2016
A convergent and fully distributable SVMs training algorithm	2016 International Joint Conference on Neural Networks (IJCNN)	2016
A canonical duality approach for the solution of affine quasi-variational inequalities	Advances in global optimization	2015
The semismooth Newton method for the solution of quasi-variational inequalities	COMPUTATIONAL OPTIMIZATION AND APPLICATIONS	2015
Parallel Selective Algorithms for Nonconvex Big Data Optimization	IEEE TRANSACTIONS ON SIGNAL PROCESSING	2015

Progetti di Ricerca

Effective methods for generalized Nash equilibrium problems with mixed-integer variables, with applications to machine learning and transportation problems
Decomposition algorithms for quasi-variational inequalities and generalized Nash equilibrium problems