Marco Sciandrone

50 papers Journal 50
YearRankTypeTitle / Venue / Authors
2026 J jnl
A globally convergent gradient method with momentum.
Comput. Optim. Appl.
Matteo Lapucci, Giampaolo Liuzzi, Stefano Lucidi, Davide Pucci, Marco Sciandrone
2023 J jnl
A Unifying Framework for Sparsity-Constrained Optimization.
J. Optim. Theory Appl.
Matteo Lapucci, Tommaso Levato, Francesco Rinaldi, Marco Sciandrone
2022 J jnl
A study on sequential minimal optimization methods for standard quadratic problems.
4OR
Riccardo Bisori, Matteo Lapucci, Marco Sciandrone
2022 J jnl
Nonlinear optimization and support vector machines.
Ann. Oper. Res.
Veronica Piccialli, Marco Sciandrone
2021 J jnl
A Two-Level Decomposition Framework Exploiting First and Second Order Information for SVM Training Problems.
J. Mach. Learn. Res.
Giulio Galvan, Matteo Lapucci, Chih-Jen Lin, Marco Sciandrone
2021 J jnl
A parameter-free unconstrained reformulation for nonsmooth problems with convex constraints.
Comput. Optim. Appl.
Giulio Galvan, Marco Sciandrone, Stefano Lucidi
2021 J jnl
Convergent Inexact Penalty Decomposition Methods for Cardinality-Constrained Problems.
J. Optim. Theory Appl.
Matteo Lapucci, Tommaso Levato, Marco Sciandrone
2020 J jnl
A concave optimization-based approach for sparse multiobjective programming.
Optim. Lett.
Guido Cocchi, Tommaso Levato, Giampaolo Liuzzi, Marco Sciandrone
2020 J jnl
A unified convergence framework for nonmonotone inexact decomposition methods.
Comput. Optim. Appl.
Leonardo Galli, Alessandro Galligari, Marco Sciandrone
2020 J jnl
An Alternating Augmented Lagrangian method for constrained nonconvex optimization.
Optim. Methods Softw.
Giulio Galvan, Matteo Lapucci, Tommaso Levato, Marco Sciandrone
2020 J jnl
On the convergence of steepest descent methods for multiobjective optimization.
Comput. Optim. Appl.
Guido Cocchi, Giampaolo Liuzzi, Stefano Lucidi, Marco Sciandrone
2019 J jnl
A computational study of path-based methods for optimal traffic assignment with both inelastic and elastic demand.
Comput. Oper. Res.
Alessandro Galligari, Marco Sciandrone
2018 J jnl
A convergent and fast path equilibration algorithm for the traffic assignment problem.
Optim. Methods Softw.
Alessandro Galligari, Marco Sciandrone
2018 J jnl
A nonmonotone trust-region method for generalized Nash equilibrium and related problems with strong convergence properties.
Comput. Optim. Appl.
Leonardo Galli, Christian Kanzow, Marco Sciandrone
2018 J jnl
An implicit filtering algorithm for derivative-free multiobjective optimization with box constraints.
Comput. Optim. Appl.
Guido Cocchi, Giampaolo Liuzzi, Anthony Papini, Marco Sciandrone
2018 J jnl
Nonlinear optimization and support vector machines.
4OR
Veronica Piccialli, Marco Sciandrone
2018 J jnl
Scheduling the Italian National Volleyball Tournament.
Interfaces
Guido Cocchi, Alessandro Galligari, Federica Picca Nicolino, Veronica Piccialli, Fabio Schoen, Marco Sciandrone
2017 J jnl
An Optimization-Based Method for Feature Ranking in Nonlinear Regression Problems.
IEEE Trans. Neural Networks Learn. Syst.
Luca Bravi, Veronica Piccialli, Marco Sciandrone
2016 J jnl
A cubic regularization algorithm for unconstrained optimization using line search and nonmonotone techniques.
Optim. Methods Softw.
Tommaso Bianconcini, Marco Sciandrone
2016 J jnl
Decomposition Techniques for Multilayer Perceptron Training.
IEEE Trans. Neural Networks Learn. Syst.
Luigi Grippo, Andrea Manno, Marco Sciandrone
2015 J jnl
A convergent and efficient decomposition method for the traffic assignment problem.
Comput. Optim. Appl.
David Di Lorenzo, Alessandro Galligari, Marco Sciandrone
2015 J jnl
On the use of iterative methods in cubic regularization for unconstrained optimization.
Comput. Optim. Appl.
Tommaso Bianconcini, Giampaolo Liuzzi, Benedetta Morini, Marco Sciandrone
2014 J jnl
A convergent inexact solution method for equilibrium problems.
Optim. Methods Softw.
David Di Lorenzo, Mauro Passacantando, Marco Sciandrone
2014 J jnl
An incremental decomposition method for unconstrained optimization.
Appl. Math. Comput.
Luca Bravi, Marco Sciandrone
2013 J jnl
An incremental least squares algorithm for large scale linear classification.
Eur. J. Oper. Res.
Andrea Cassioli, A. Chiavaioli, Costanzo Manes, Marco Sciandrone
2013 J jnl
On the convergence of inexact block coordinate descent methods for constrained optimization.
Eur. J. Oper. Res.
Andrea Cassioli, David Di Lorenzo, Marco Sciandrone
2012 J jnl
A concave optimization-based approach for sparse portfolio selection.
Optim. Methods Softw.
David Di Lorenzo, Giampaolo Liuzzi, Francesco Rinaldi, Fabio Schoen, Marco Sciandrone
2012 J jnl
Machine learning for global optimization.
Comput. Optim. Appl.
Andrea Cassioli, David Di Lorenzo, Marco Locatelli, Fabio Schoen, Marco Sciandrone
2011 J jnl
Decomposition algorithms for generalized potential games.
Comput. Optim. Appl.
Francisco Facchinei, Veronica Piccialli, Marco Sciandrone
2010 J jnl
Concave programming for minimizing the zero-norm over polyhedral sets.
Comput. Optim. Appl.
Francesco Rinaldi, Fabio Schoen, Marco Sciandrone
2010 J jnl
Feature selection combining linear support vector machines and concave optimization.
Optim. Methods Softw.
Francesco Rinaldi, Marco Sciandrone
2010 J jnl
Nonmonotone globalization of the finite-difference Newton-GMRES method for nonlinear equations.
Optim. Methods Softw.
Luigi Grippo, Marco Sciandrone
2010 J jnl
Real-Time Epileptic Seizure Prediction Using AR Models and Support Vector Machines.
IEEE Trans. Biomed. Eng.
Luigi Chisci, Antonio Mavino, Guido Perferi, Marco Sciandrone, Carmelo Anile, Gabriella Colicchio, Filomena Fuggetta
2010 J jnl
Sequential Penalty Derivative-Free Methods for Nonlinear Constrained Optimization.
SIAM J. Optim.
Giampaolo Liuzzi, Stefano Lucidi, Marco Sciandrone
2009 J jnl
A Convergent Hybrid Decomposition Algorithm Model for SVM Training.
IEEE Trans. Neural Networks
Stefano Lucidi, Laura Palagi, Arnaldo Risi, Marco Sciandrone
2009 J jnl
A convergent decomposition method for box-constrained optimization problems.
Optim. Lett.
Andrea Cassioli, Marco Sciandrone
2009 J jnl
A patient adaptable ECG beat classifier based on neural networks.
Appl. Math. Comput.
Andrea De Gaetano, Simona Panunzi, Francesco Rinaldi, Arnaldo Risi, Marco Sciandrone
2007 J jnl
A convergent decomposition algorithm for support vector machines.
Comput. Optim. Appl.
Stefano Lucidi, Laura Palagi, Arnaldo Risi, Marco Sciandrone
2007 J jnl
Nonmonotone derivative-free methods for nonlinear equations.
Comput. Optim. Appl.
Luigi Grippo, Marco Sciandrone
2006 J jnl
A Derivative-Free Algorithm for Linearly Constrained Finite Minimax Problems.
SIAM J. Optim.
Giampaolo Liuzzi, Stefano Lucidi, Marco Sciandrone
2006 J jnl
A Truncated Nonmonotone Gauss-Newton Method for Large-Scale Nonlinear Least-Squares Problems.
Comput. Optim. Appl.
Giovanni Fasano, Francesco Lampariello, Marco Sciandrone
2005 J jnl
An Algorithm Model for Mixed Variable Programming.
SIAM J. Optim.
Stefano Lucidi, Veronica Piccialli, Marco Sciandrone
2005 J jnl
On the convergence of a modified version of SVM
Optim. Methods Softw.
Laura Palagi, Marco Sciandrone
2002 J jnl
A Derivative-Free Algorithm for Bound Constrained Optimization.
Comput. Optim. Appl.
Stefano Lucidi, Marco Sciandrone
2002 J jnl
Nonmonotone Globalization Techniques for the Barzilai-Borwein Gradient Method.
Comput. Optim. Appl.
Luigi Grippo, Marco Sciandrone
2002 J jnl
Objective-derivative-free methods for constrained optimization.
Math. Program.
Stefano Lucidi, Marco Sciandrone, Paul Tseng
2002 J jnl
On the Global Convergence of Derivative-Free Methods for Unconstrained Optimization.
SIAM J. Optim.
Stefano Lucidi, Marco Sciandrone
2001 J jnl
Convergent Decomposition Techniques for Training RBF Neural Networks.
Neural Comput.
C. Buzzi, Luigi Grippo, Marco Sciandrone
2001 J jnl
Efficient training of RBF neural networks for pattern recognition.
IEEE Trans. Neural Networks
Francesco Lampariello, Marco Sciandrone
2000 J jnl
On the convergence of the block nonlinear Gauss-Seidel method under convex constraints.
Oper. Res. Lett.
Luigi Grippo, Marco Sciandrone