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Simone Sagratella
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Journal Articles
- 2023
- [j25]Francesco Cesarone, Lorenzo Lampariello, Davide Merolla, Jacopo M. Ricci, Simone Sagratella, Valerio Giuseppe Sasso:
A bilevel approach to ESG multi-portfolio selection. Comput. Manag. Sci. 20(1): 24 (2023) - [j24]Giancarlo Bigi, Lorenzo Lampariello, Simone Sagratella, Valerio Giuseppe Sasso:
Approximate variational inequalities and equilibria. Comput. Manag. Sci. 20(1): 43 (2023) - 2022
- [j23]Lorenzo Lampariello, Gianluca Priori, Simone Sagratella:
On the solution of monotone nested variational inequalities. Math. Methods Oper. Res. 96(3): 421-446 (2022) - 2021
- [j22]Lorenzo Lampariello, Christoph Neumann, Jacopo M. Ricci, Simone Sagratella, Oliver Stein:
Equilibrium selection for multi-portfolio optimization. Eur. J. Oper. Res. 295(1): 363-373 (2021) - 2020
- [j21]Lorenzo Lampariello, Simone Sagratella:
Numerically tractable optimistic bilevel problems. Comput. Optim. Appl. 76(2): 277-303 (2020) - [j20]Lorenzo Lampariello, Christoph Neumann, Jacopo M. Ricci, Simone Sagratella, Oliver Stein:
An explicit Tikhonov algorithm for nested variational inequalities. Comput. Optim. Appl. 77(2): 335-350 (2020) - [j19]Simone Sagratella, Marcel Schmidt, Nathan Sudermann-Merx:
The noncooperative fixed charge transportation problem. Eur. J. Oper. Res. 284(1): 373-382 (2020) - [j18]Tommaso Colombo, Simone Sagratella:
Distributed algorithms for convex problems with linear coupling constraints. J. Glob. Optim. 77(1): 53-73 (2020) - [j17]Yekini Shehu, Aviv Gibali, Simone Sagratella:
Inertial Projection-Type Methods for Solving Quasi-Variational Inequalities in Real Hilbert Spaces. J. Optim. Theory Appl. 184(3): 877-894 (2020) - [j16]Axel Dreves, Simone Sagratella:
Nonsingularity and Stationarity Results for Quasi-Variational Inequalities. J. Optim. Theory Appl. 185(3): 711-743 (2020) - 2019
- [j15]Andrea Manno, Laura Palagi, Simone Sagratella:
Case Article - Production and Distribution Optimization of Beach Equipment for the Marinero Company. INFORMS Trans. Educ. 19(3): 152-154 (2019) - [j14]Andrea Manno, Laura Palagi, Simone Sagratella:
Case - Production and Distribution Optimization of Beach Equipment for the Marinero Company. INFORMS Trans. Educ. 19(3): 155-159 (2019) - [j13]Lorenzo Lampariello, Simone Sagratella, Oliver Stein:
The Standard Pessimistic Bilevel Problem. SIAM J. Optim. 29(2): 1634-1656 (2019) - 2018
- [j12]Andrea Manno, Laura Palagi, Simone Sagratella:
Parallel decomposition methods for linearly constrained problems subject to simple bound with application to the SVMs training. Comput. Optim. Appl. 71(1): 115-145 (2018) - 2017
- [j11]Simone Sagratella:
Algorithms for generalized potential games with mixed-integer variables. Comput. Optim. Appl. 68(3): 689-717 (2017) - [j10]Lorenzo Lampariello, Simone Sagratella:
A Bridge Between Bilevel Programs and Nash Games. J. Optim. Theory Appl. 174(2): 613-635 (2017) - [j9]Didier Aussel, Simone Sagratella:
Sufficient conditions to compute any solution of a quasivariational inequality via a variational inequality. Math. Methods Oper. Res. 85(1): 3-18 (2017) - [j8]Simone Sagratella:
Computing equilibria of Cournot oligopoly models with mixed-integer quantities. Math. Methods Oper. Res. 86(3): 549-565 (2017) - 2016
- [j7]Vittorio Latorre, Simone Sagratella:
A canonical duality approach for the solution of affine quasi-variational inequalities. J. Glob. Optim. 64(3): 433-449 (2016) - [j6]Simone Sagratella:
Computing All Solutions of Nash Equilibrium Problems with Discrete Strategy Sets. SIAM J. Optim. 26(4): 2190-2218 (2016) - 2015
- [j5]Francisco Facchinei, Christian Kanzow, Sebastian Karl, Simone Sagratella:
The semismooth Newton method for the solution of quasi-variational inequalities. Comput. Optim. Appl. 62(1): 85-109 (2015) - [j4]Francisco Facchinei, Gesualdo Scutari, Simone Sagratella:
Parallel Selective Algorithms for Nonconvex Big Data Optimization. IEEE Trans. Signal Process. 63(7): 1874-1889 (2015) - 2014
- [j3]Francisco Facchinei, Christian Kanzow, Simone Sagratella:
Solving quasi-variational inequalities via their KKT conditions. Math. Program. 144(1-2): 369-412 (2014) - 2011
- [j2]Francisco Facchinei, Simone Sagratella:
On the computation of all solutions of jointly convex generalized Nash equilibrium problems. Optim. Lett. 5(3): 531-547 (2011) - [j1]Axel Dreves, Francisco Facchinei, Christian Kanzow, Simone Sagratella:
On the solution of the KKT conditions of generalized Nash equilibrium problems. SIAM J. Optim. 21(3): 1082-1108 (2011)
Conference and Workshop Papers
- 2022
- [c5]Filippo Fabiani, Barbara Franci, Simone Sagratella, Martin Schmidt, Mathias Staudigl:
Proximal-like algorithms for equilibrium seeking in mixed-integer Nash equilibrium problems. CDC 2022: 4137-4142 - 2019
- [c4]Francesco Foglino, Matteo Leonetti, Simone Sagratella, Ruggiero Seccia:
A Gray-Box Approach for Curriculum Learning. WCGO 2019: 720-729 - 2016
- [c3]Andrea Manno, Simone Sagratella, Lorenzo Livi:
A convergent and fully distributable SVMs training algorithm. IJCNN 2016: 3076-3080 - 2014
- [c2]Francisco Facchinei, Simone Sagratella, Gesualdo Scutari:
Flexible parallel algorithms for big data optimization. ICASSP 2014: 7208-7212 - 2011
- [c1]Silvia Canale, Alberto De Santis, Daniela Iacoviello, Fiora Pirri, Simone Sagratella:
Integrating X-SAR images and anthropic factors for fire susceptibility assessment. IGARSS 2011: 818-821
Informal and Other Publications
- 2023
- [i5]Filippo Fabiani, Simone Sagratella:
On best-response algorithms for monotone Nash equilibrium problems with mixed-integer variables. CoRR abs/2310.09885 (2023) - 2022
- [i4]Filippo Fabiani, Barbara Franci, Simone Sagratella, Martin Schmidt, Mathias Staudigl:
Proximal-like algorithms for equilibrium seeking in mixed-integer Nash equilibrium problems. CoRR abs/2203.15410 (2022) - 2019
- [i3]Francesco Foglino, Matteo Leonetti, Simone Sagratella, Ruggiero Seccia:
A gray-box approach for curriculum learning. CoRR abs/1906.06812 (2019) - 2014
- [i2]Francisco Facchinei, Simone Sagratella, Gesualdo Scutari:
Parallel Algorithms for Big Data Optimization. CoRR abs/1402.5521 (2014) - 2013
- [i1]Francisco Facchinei, Simone Sagratella, Gesualdo Scutari:
Flexible Parallel Algorithms for Big Data Optimization. CoRR abs/1311.2444 (2013)
Coauthor Index
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