Simone Sagratella

According to our database, Simone Sagratella authored at least 32 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A bilevel approach to ESG multi-portfolio selection.

Francesco Cesarone, Lorenzo Lampariello, Davide Merolla, Jacopo M. Ricci, Simone Sagratella, Valerio Giuseppe Sasso

Comput. Manag. Sci., December, 2023

Approximate variational inequalities and equilibria.

Giancarlo Bigi, Lorenzo Lampariello, Simone Sagratella, Valerio Giuseppe Sasso

Comput. Manag. Sci., December, 2023

On best-response algorithms for monotone Nash equilibrium problems with mixed-integer variables.

Filippo Fabiani, Simone Sagratella

CoRR, 2023

2022

On the solution of monotone nested variational inequalities.

Lorenzo Lampariello, Gianluca Priori, Simone Sagratella

Math. Methods Oper. Res., 2022

Proximal-like algorithms for equilibrium seeking in mixed-integer Nash equilibrium problems.

Filippo Fabiani, Barbara Franci, Simone Sagratella, Martin Schmidt, Mathias Staudigl

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Equilibrium selection for multi-portfolio optimization.

Lorenzo Lampariello, Christoph Neumann, Jacopo M. Ricci, Simone Sagratella, Oliver Stein

Eur. J. Oper. Res., 2021

2020

Inertial Projection-Type Methods for Solving Quasi-Variational Inequalities in Real Hilbert Spaces.

Yekini Shehu, Aviv Gibali, Simone Sagratella

J. Optim. Theory Appl., 2020

Nonsingularity and Stationarity Results for Quasi-Variational Inequalities.

Axel Dreves, Simone Sagratella

J. Optim. Theory Appl., 2020

Distributed algorithms for convex problems with linear coupling constraints.

Tommaso Colombo, Simone Sagratella

J. Glob. Optim., 2020

The noncooperative fixed charge transportation problem.

Simone Sagratella, Marcel Schmidt, Nathan Sudermann-Merx

Eur. J. Oper. Res., 2020

Numerically tractable optimistic bilevel problems.

Lorenzo Lampariello, Simone Sagratella

Comput. Optim. Appl., 2020

An explicit Tikhonov algorithm for nested variational inequalities.

Lorenzo Lampariello, Christoph Neumann, Jacopo M. Ricci, Simone Sagratella, Oliver Stein

Comput. Optim. Appl., 2020

2019

The Standard Pessimistic Bilevel Problem.

Lorenzo Lampariello, Simone Sagratella, Oliver Stein

SIAM J. Optim., 2019

Case - Production and Distribution Optimization of Beach Equipment for the Marinero Company.

Andrea Manno, Laura Palagi, Simone Sagratella

INFORMS Trans. Educ., 2019

Case Article - Production and Distribution Optimization of Beach Equipment for the Marinero Company.

Andrea Manno, Laura Palagi, Simone Sagratella

INFORMS Trans. Educ., 2019

A Gray-Box Approach for Curriculum Learning.

Francesco Foglino, Matteo Leonetti, Simone Sagratella, Ruggiero Seccia

Proceedings of the Optimization of Complex Systems: Theory, 2019

2018

Parallel decomposition methods for linearly constrained problems subject to simple bound with application to the SVMs training.

Andrea Manno, Laura Palagi, Simone Sagratella

Comput. Optim. Appl., 2018

2017

Computing equilibria of Cournot oligopoly models with mixed-integer quantities.

Simone Sagratella

Math. Methods Oper. Res., 2017

Sufficient conditions to compute any solution of a quasivariational inequality via a variational inequality.

Didier Aussel, Simone Sagratella

Math. Methods Oper. Res., 2017

A Bridge Between Bilevel Programs and Nash Games.

Lorenzo Lampariello, Simone Sagratella

J. Optim. Theory Appl., 2017

Algorithms for generalized potential games with mixed-integer variables.

Simone Sagratella

Comput. Optim. Appl., 2017

2016

Computing All Solutions of Nash Equilibrium Problems with Discrete Strategy Sets.

Simone Sagratella

SIAM J. Optim., 2016

A canonical duality approach for the solution of affine quasi-variational inequalities.

Vittorio Latorre, Simone Sagratella

J. Glob. Optim., 2016

A convergent and fully distributable SVMs training algorithm.

Andrea Manno, Simone Sagratella, Lorenzo Livi

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Parallel Selective Algorithms for Nonconvex Big Data Optimization.

Francisco Facchinei, Gesualdo Scutari, Simone Sagratella

IEEE Trans. Signal Process., 2015

The semismooth Newton method for the solution of quasi-variational inequalities.

Francisco Facchinei, Christian Kanzow, Sebastian Karl, Simone Sagratella

Comput. Optim. Appl., 2015

2014

Solving quasi-variational inequalities via their KKT conditions.

Francisco Facchinei, Christian Kanzow, Simone Sagratella

Math. Program., 2014

Parallel Algorithms for Big Data Optimization.

Francisco Facchinei, Simone Sagratella, Gesualdo Scutari

CoRR, 2014

Flexible parallel algorithms for big data optimization.

Francisco Facchinei, Simone Sagratella, Gesualdo Scutari

Proceedings of the IEEE International Conference on Acoustics, 2014

2011

On the solution of the KKT conditions of generalized Nash equilibrium problems.

Axel Dreves, Francisco Facchinei, Christian Kanzow, Simone Sagratella

SIAM J. Optim., 2011

On the computation of all solutions of jointly convex generalized Nash equilibrium problems.

Francisco Facchinei, Simone Sagratella

Optim. Lett., 2011

Integrating X-SAR images and anthropic factors for fire susceptibility assessment.

Silvia Canale, Alberto De Santis, Daniela Iacoviello, Fiora Pirri, Simone Sagratella

Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 2011