Simone Sagratella

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

Didier Aussel, Simone Sagratella, D. Aussel, 2017, Math. Methods Oper. Res..

Solving quasi-variational inequalities via their KKT conditions

Francisco Facchinei, Christian Kanzow, Simone Sagratella, 2014, Math. Program..

Algorithms for generalized potential games with mixed-integer variables

Simone Sagratella, Simone Sagratella, 2017, Comput. Optim. Appl..

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

Francisco Facchinei, Christian Kanzow, Simone Sagratella, 2015, Comput. Optim. Appl..

A Class of Convergent Parallel Algorithms for SVMs Training

Laura Palagi, Simone Sagratella, Andrea Manno, 2014 .

Parallel Selective Algorithms for Nonconvex Big Data Optimization

Francisco Facchinei, Gesualdo Scutari, Simone Sagratella, 2014, IEEE Transactions on Signal Processing.

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

Laura Palagi, Simone Sagratella, Andrea Manno, 2019, INFORMS Transactions on Education.

An explicit Tikhonov algorithm for nested variational inequalities

Christoph Neumann, Lorenzo Lampariello, Simone Sagratella, 2020, Computational Optimization and Applications.

A dominance maximization approach to portfolio selection

Francesco Cesarone, Lorenzo Lampariello, Simone Sagratella, 2016 .

Numerically tractable optimistic bilevel problems

Lorenzo Lampariello, Simone Sagratella, Lorenzo Lampariello, 2020, Comput. Optim. Appl..

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

Francisco Facchinei, Christian Kanzow, Simone Sagratella, 2011, SIAM J. Optim..

A risk-gain dominance maximization approach to enhanced index tracking

Lorenzo Lampariello, Simone Sagratella, Francesco Cesarone, 2019, Finance Research Letters.

Distributed algorithms for convex problems with linear coupling constraints

Simone Sagratella, Tommaso Colombo, Simone Sagratella, 2019, J. Glob. Optim..

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

Fiora Pirri, Daniela Iacoviello, Silvia Canale, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

RETRACTED: Canonical dual approach for contact mechanics problems with friction

Vittorio Latorre, Simone Sagratella, David Yang Gao, 2016 .

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

Laura Palagi, Simone Sagratella, Andrea Manno, 2018, Computational Optimization and Applications.

The noncooperative fixed charge transportation problem

Simone Sagratella, Nathan Sudermann-Merx, Marcel Schmidt, 2020, Eur. J. Oper. Res..

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

Francisco Facchinei, Simone Sagratella, 2011, Optim. Lett..

The Standard Pessimistic Bilevel Problem

Oliver Stein, Lorenzo Lampariello, Simone Sagratella, 2019, SIAM J. Optim..

Combining Local and Global Direct Derivative-Free Optimization for Reinforcement Learning

Matteo Leonetti, Petar Kormushev, Simone Sagratella, 2012 .

A Gray-Box Approach for Curriculum Learning

Matteo Leonetti, Simone Sagratella, Francesco Foglino, 2019, WCGO.

Computing equilibria of Cournot oligopoly models with mixed-integer quantities

Simone Sagratella, Simone Sagratella, 2017, Math. Methods Oper. Res..

Flexible parallel algorithms for big data optimization

Francisco Facchinei, Gesualdo Scutari, Simone Sagratella, 2013, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Interactions Between Bilevel Optimization and Nash Games

Lorenzo Lampariello, Simone Sagratella, Vladimir Shikhman, 2020 .

A Bridge Between Bilevel Programs and Nash Games

Lorenzo Lampariello, Simone Sagratella, Lorenzo Lampariello, 2015, J. Optim. Theory Appl..

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

Vittorio Latorre, Simone Sagratella, 2016, J. Glob. Optim..

Improving Social Assistance Services for Minors and Disabled People by Using Multiobjective Programming

Lorenzo Lampariello, Simone Sagratella, Andrea Manno, 2019 .

Convergent Parallel Algorithms for Big Data Optimization Problems

Simone Sagratella, 2016 .

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

Laura Palagi, Simone Sagratella, Andrea Manno, 2019, INFORMS Trans. Educ..

A convergent and fully distributable SVMs training algorithm

Lorenzo Livi, Simone Sagratella, Andrea Manno, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Nonsingularity and Stationarity Results for Quasi-Variational Inequalities

Simone Sagratella, Axel Dreves, Simone Sagratella, 2020, J. Optim. Theory Appl..

Parallel Algorithms for Big Data Optimization pdf

Francisco Facchinei, Gesualdo Scutari, Simone Sagratella, 2014, ArXiv.

A Class of Parallel Decomposition Algorithms for SVMs Training

Laura Palagi, Simone Sagratella, Andrea Manno, 2015 .

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

Yekini Shehu, Aviv Gibali, Simone Sagratella, 2020, J. Optim. Theory Appl..

Computing All Solutions of Nash Equilibrium Problems with Discrete Strategy Sets

Simone Sagratella, Simone Sagratella, 2015, SIAM J. Optim..

On the solution of monotone nested variational inequalities

Lorenzo Lampariello, Simone Sagratella, Gianluca Priori, 2021, Mathematical Methods of Operations Research.

Equilibrium selection for multi-portfolio optimization

Oliver Stein, Christoph Neumann, Lorenzo Lampariello, 2021, Eur. J. Oper. Res..

Combining approximation and exact penalty in hierarchical programming

Lorenzo Lampariello, Simone Sagratella, Giancarlo Bigi, 2021, Optimization.

On generalized Nash equilibrium problems with linear coupling constraints and mixed-integer variables

Simone Sagratella, 2018, Optimization.