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Simone Sagratella
Observed names:
S. Sagratella,
SAGRATELLA, SIMONE,
Sagratella Simone,
Sagratella, Simone
Institution:
Mercatorum University
Observed institutions:
Karlsruhe Institute of Technology,
Roma Tre University,
IMT School for Advanced Studies Lucca,
Mercatorum University,
Sapienza University of Rome
ORCID:
0000-0001-5888-1953
Observed ORCID:
0000-0001-5888-1953
OpenAlex ID:
A5084019843
Parallel Selective Algorithms for Nonconvex Big Data Optimization
2015
·
Francisco Facchinei
, Gesualdo Scutari
, et al.
·
IEEE Transactions on Signal Processing
·
162
PDF
On the solution of the KKT conditions of generalized Nash equilibrium problems
2011
·
Axel Dreves
, Francisco Facchinei
, et al.
·
SIAM Journal on Optimization
·
161
Solving quasi-variational inequalities via their KKT conditions
2013
·
Francisco Facchinei
, Christian Kanzow
, et al.
·
Mathematical Programming
·
123
Algorithms for generalized potential games with mixed-integer variables
2017
·
Simone Sagratella
·
Computational Optimization and Applications
·
56
PDF
Inertial Projection-Type Methods for Solving Quasi-Variational Inequalities in Real Hilbert Spaces
2019
·
Yekini Shehu
, Aviv Gibali
, et al.
·
Journal of Optimization Theory and Applications
·
51
On the computation of all solutions of jointly convex generalized Nash equilibrium problems
2010
·
Francisco Facchinei
, Simone Sagratella
·
Optimization Letters
·
49
Computing All Solutions of Nash Equilibrium Problems with Discrete Strategy Sets
2016
·
Simone Sagratella
·
SIAM Journal on Optimization
·
44
PDF
The semismooth Newton method for the solution of quasi-variational inequalities
2014
·
Francisco Facchinei
, Christian Kanzow
, et al.
·
Computational Optimization and Applications
·
40
Sufficient conditions to compute any solution of a quasivariational inequality via a variational inequality
2016
·
Didier Aussel
, Simone Sagratella
·
Mathematical Methods of Operations Research
·
37
On generalized Nash equilibrium problems with linear coupling constraints and mixed-integer variables
2018
·
Simone Sagratella
·
Optimization
·
30
Equilibrium selection for multi-portfolio optimization
2021
·
Lorenzo Lampariello
, Christoph Neumann
, et al.
·
European Journal of Operational Research
·
27
A Bridge Between Bilevel Programs and Nash Games
2017
·
Lorenzo Lampariello
, Simone Sagratella
·
Journal of Optimization Theory and Applications
·
26
PDF
Flexible parallel algorithms for big data optimization
2014
·
Francisco Facchinei
, Simone Sagratella
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
25
Numerically tractable optimistic bilevel problems
2020
·
Lorenzo Lampariello
, Simone Sagratella
·
Computational Optimization and Applications
·
24
The noncooperative fixed charge transportation problem
2019
·
Simone Sagratella
, Marcel Schmidt
, et al.
·
European Journal of Operational Research
·
22
Computing equilibria of Cournot oligopoly models with mixed-integer quantities
2017
·
Simone Sagratella
·
Mathematical Methods of Operations Research
·
22
PDF
The Standard Pessimistic Bilevel Problem
2019
·
Lorenzo Lampariello
, Simone Sagratella
, et al.
·
SIAM Journal on Optimization
·
21
PDF
A canonical duality approach for the solution of affine quasi-variational inequalities
2014
·
Vittorio Latorre
, Simone Sagratella
·
Journal of Global Optimization
·
21
A bilevel approach to ESG multi-portfolio selection
2023
·
Francesco Cesarone
, Lorenzo Lampariello
, et al.
·
Computational Management Science
·
16
PDF
Combining Local and Global Direct Derivative-Free Optimization for Reinforcement Learning
2012
·
Matteo Leonetti
, Petar Kormushev
, et al.
·
Cybernetics and Information Technologies
·
16
PDF
Effectively managing diagnostic tests to monitor the COVID-19 outbreak in Italy
2021
·
Lorenzo Lampariello
, Simone Sagratella
·
Operations Research for Health Care
·
15
PDF
A risk-gain dominance maximization approach to enhanced index tracking
2018
·
Francesco Cesarone
, Lorenzo Lampariello
, et al.
·
Finance research letters
·
15
An explicit Tikhonov algorithm for nested variational inequalities
2020
·
Lorenzo Lampariello
, Christoph Neumann
, et al.
·
Computational Optimization and Applications
·
13
Flexible Parallel Algorithms for Big Data Optimization
2013
·
Facchinei, Francisco
, Sagratella, Simone
, et al.
·
arXiv (Cornell University)
·
12
PDF
Parallel decomposition methods for linearly constrained problems subject to simple bound with application to the SVMs training
2018
·
Andrea Manno
, Laura Palagi
, et al.
·
Computational Optimization and Applications
·
11
PDF
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Works count:
70
Citation count:
1,137
H-index:
18
I10-index:
26
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