Marco Sciandrone

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 21

Top Topics

Optimization Methods

Unconstrained Optimization

Constrained Problems

Augmented Lagrangian

Top Venues

Comput. Optim. Appl.

Optim. Methods Softw.

J. Optim. Theory Appl.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Matteo Lapucci, Tommaso Levato, Francesco Rinaldi, Marco Sciandrone
A Unifying Framework for Sparsity-Constrained Optimization. J. Optim. Theory Appl. 199 (2) (2023)
Veronica Piccialli, Marco Sciandrone
Nonlinear optimization and support vector machines. Ann. Oper. Res. 314 (1) (2022)
Riccardo Bisori, Matteo Lapucci, Marco Sciandrone
A study on sequential minimal optimization methods for standard quadratic problems. 4OR 20 (4) (2022)
Giulio Galvan, Marco Sciandrone, Stefano Lucidi
A parameter-free unconstrained reformulation for nonsmooth problems with convex constraints. Comput. Optim. Appl. 80 (1) (2021)
Giulio Galvan, Matteo Lapucci, Chih-Jen Lin, Marco Sciandrone
A Two-Level Decomposition Framework Exploiting First and Second Order Information for SVM Training Problems. J. Mach. Learn. Res. 22 (2021)
Matteo Lapucci, Tommaso Levato, Marco Sciandrone
Convergent Inexact Penalty Decomposition Methods for Cardinality-Constrained Problems. J. Optim. Theory Appl. 188 (2) (2021)
Leonardo Galli, Alessandro Galligari, Marco Sciandrone
A unified convergence framework for nonmonotone inexact decomposition methods. Comput. Optim. Appl. 75 (1) (2020)
Guido Cocchi, Tommaso Levato, Giampaolo Liuzzi, Marco Sciandrone
A concave optimization-based approach for sparse multiobjective programming. Optim. Lett. 14 (3) (2020)
Giulio Galvan, Matteo Lapucci, Tommaso Levato, Marco Sciandrone
An Alternating Augmented Lagrangian method for constrained nonconvex optimization. Optim. Methods Softw. 35 (3) (2020)
Guido Cocchi, Giampaolo Liuzzi, Stefano Lucidi, Marco Sciandrone
On the convergence of steepest descent methods for multiobjective optimization. Comput. Optim. Appl. 77 (1) (2020)
Alessandro Galligari, Marco Sciandrone
A computational study of path-based methods for optimal traffic assignment with both inelastic and elastic demand. Comput. Oper. Res. 103 (2019)
Guido Cocchi, Alessandro Galligari, Federica Picca Nicolino, Veronica Piccialli, Fabio Schoen, Marco Sciandrone
Scheduling the Italian National Volleyball Tournament. Interfaces 48 (3) (2018)
Veronica Piccialli, Marco Sciandrone
Nonlinear optimization and support vector machines. 4OR 16 (2) (2018)
Alessandro Galligari, Marco Sciandrone
A convergent and fast path equilibration algorithm for the traffic assignment problem. Optim. Methods Softw. 33 (2) (2018)
Leonardo Galli, Christian Kanzow, Marco Sciandrone
A nonmonotone trust-region method for generalized Nash equilibrium and related problems with strong convergence properties. Comput. Optim. Appl. 69 (3) (2018)
Guido Cocchi, Giampaolo Liuzzi, Anthony Papini, Marco Sciandrone
An implicit filtering algorithm for derivative-free multiobjective optimization with box constraints. Comput. Optim. Appl. 69 (2) (2018)
Luca Bravi, Veronica Piccialli, Marco Sciandrone
An Optimization-Based Method for Feature Ranking in Nonlinear Regression Problems. IEEE Trans. Neural Networks Learn. Syst. 28 (4) (2017)
Luigi Grippo, Andrea Manno, Marco Sciandrone
Decomposition Techniques for Multilayer Perceptron Training. IEEE Trans. Neural Networks Learn. Syst. 27 (11) (2016)
Tommaso Bianconcini, Marco Sciandrone
A cubic regularization algorithm for unconstrained optimization using line search and nonmonotone techniques. Optim. Methods Softw. 31 (5) (2016)
Tommaso Bianconcini, Giampaolo Liuzzi, Benedetta Morini, Marco Sciandrone
On the use of iterative methods in cubic regularization for unconstrained optimization. Comput. Optim. Appl. 60 (1) (2015)
David Di Lorenzo, Alessandro Galligari, Marco Sciandrone
A convergent and efficient decomposition method for the traffic assignment problem. Comput. Optim. Appl. 60 (1) (2015)
Luca Bravi, Marco Sciandrone
An incremental decomposition method for unconstrained optimization. Appl. Math. Comput. 235 (2014)
David Di Lorenzo, Mauro Passacantando, Marco Sciandrone
A convergent inexact solution method for equilibrium problems. Optim. Methods Softw. 29 (5) (2014)
Andrea Cassioli, David Di Lorenzo, Marco Sciandrone
On the convergence of inexact block coordinate descent methods for constrained optimization. Eur. J. Oper. Res. 231 (2) (2013)
Andrea Cassioli, A. Chiavaioli, Costanzo Manes, Marco Sciandrone
An incremental least squares algorithm for large scale linear classification. Eur. J. Oper. Res. 224 (3) (2013)
David Di Lorenzo, Giampaolo Liuzzi, Francesco Rinaldi, Fabio Schoen, Marco Sciandrone
A concave optimization-based approach for sparse portfolio selection. Optim. Methods Softw. 27 (6) (2012)
Andrea Cassioli, David Di Lorenzo, Marco Locatelli, Fabio Schoen, Marco Sciandrone
Machine learning for global optimization. Comput. Optim. Appl. 51 (1) (2012)
Francisco Facchinei, Veronica Piccialli, Marco Sciandrone
Decomposition algorithms for generalized potential games. Comput. Optim. Appl. 50 (2) (2011)
Giampaolo Liuzzi, Stefano Lucidi, Marco Sciandrone
Sequential Penalty Derivative-Free Methods for Nonlinear Constrained Optimization. SIAM J. Optim. 20 (5) (2010)
Francesco Rinaldi, Fabio Schoen, Marco Sciandrone
Concave programming for minimizing the zero-norm over polyhedral sets. Comput. Optim. Appl. 46 (3) (2010)
Luigi Grippo, Marco Sciandrone
Nonmonotone globalization of the finite-difference Newton-GMRES method for nonlinear equations. Optim. Methods Softw. 25 (6) (2010)
Francesco Rinaldi, Marco Sciandrone
Feature selection combining linear support vector machines and concave optimization. Optim. Methods Softw. 25 (1) (2010)
Luigi Chisci, Antonio Mavino, Guido Perferi, Marco Sciandrone, Carmelo Anile, Gabriella Colicchio, Filomena Fuggetta
Real-Time Epileptic Seizure Prediction Using AR Models and Support Vector Machines. IEEE Trans. Biomed. Eng. 57 (5) (2010)
Stefano Lucidi, Laura Palagi, Arnaldo Risi, Marco Sciandrone
A Convergent Hybrid Decomposition Algorithm Model for SVM Training. IEEE Trans. Neural Networks 20 (6) (2009)
Andrea De Gaetano, Simona Panunzi, Francesco Rinaldi, Arnaldo Risi, Marco Sciandrone
A patient adaptable ECG beat classifier based on neural networks. Appl. Math. Comput. 213 (1) (2009)
Andrea Cassioli, Marco Sciandrone
A convergent decomposition method for box-constrained optimization problems. Optim. Lett. 3 (3) (2009)
Stefano Lucidi, Laura Palagi, Arnaldo Risi, Marco Sciandrone
A convergent decomposition algorithm for support vector machines. Comput. Optim. Appl. 38 (2) (2007)
Luigi Grippo, Marco Sciandrone
Nonmonotone derivative-free methods for nonlinear equations. Comput. Optim. Appl. 37 (3) (2007)
Giovanni Fasano, Francesco Lampariello, Marco Sciandrone
A Truncated Nonmonotone Gauss-Newton Method for Large-Scale Nonlinear Least-Squares Problems. Comput. Optim. Appl. 34 (3) (2006)
Giampaolo Liuzzi, Stefano Lucidi, Marco Sciandrone
A Derivative-Free Algorithm for Linearly Constrained Finite Minimax Problems. SIAM J. Optim. 16 (4) (2006)
Stefano Lucidi, Veronica Piccialli, Marco Sciandrone
An Algorithm Model for Mixed Variable Programming. SIAM J. Optim. 15 (4) (2005)
Laura Palagi, Marco Sciandrone
algorithm. Optim. Methods Softw. 20 (2-3) (2005)
Luigi Grippo, Marco Sciandrone
Nonmonotone Globalization Techniques for the Barzilai-Borwein Gradient Method. Comput. Optim. Appl. 23 (2) (2002)
Stefano Lucidi, Marco Sciandrone, Paul Tseng
Objective-derivative-free methods for constrained optimization. Math. Program. 92 (1) (2002)
Stefano Lucidi, Marco Sciandrone
On the Global Convergence of Derivative-Free Methods for Unconstrained Optimization. SIAM J. Optim. 13 (1) (2002)
Stefano Lucidi, Marco Sciandrone
A Derivative-Free Algorithm for Bound Constrained Optimization. Comput. Optim. Appl. 21 (2) (2002)
C. Buzzi, Luigi Grippo, Marco Sciandrone
Convergent Decomposition Techniques for Training RBF Neural Networks. Neural Comput. 13 (8) (2001)
Francesco Lampariello, Marco Sciandrone
Efficient training of RBF neural networks for pattern recognition. IEEE Trans. Neural Networks 12 (5) (2001)
Luigi Grippo, Marco Sciandrone
On the convergence of the block nonlinear Gauss-Seidel method under convex constraints. Oper. Res. Lett. 26 (3) (2000)