Marco Sciandrone

According to our database, Marco Sciandrone authored at least 48 papers between 2000 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A Unifying Framework for Sparsity-Constrained Optimization.

Matteo Lapucci, Tommaso Levato, Francesco Rinaldi, Marco Sciandrone

J. Optim. Theory Appl., November, 2023

2022

A study on sequential minimal optimization methods for standard quadratic problems.

Riccardo Bisori, Matteo Lapucci, Marco Sciandrone

4OR, 2022

2021

Convergent Inexact Penalty Decomposition Methods for Cardinality-Constrained Problems.

Matteo Lapucci, Tommaso Levato, Marco Sciandrone

J. Optim. Theory Appl., 2021

A Two-Level Decomposition Framework Exploiting First and Second Order Information for SVM Training Problems.

Giulio Galvan, Matteo Lapucci, Chih-Jen Lin, Marco Sciandrone

J. Mach. Learn. Res., 2021

A parameter-free unconstrained reformulation for nonsmooth problems with convex constraints.

Giulio Galvan, Marco Sciandrone, Stefano Lucidi

Comput. Optim. Appl., 2021

2020

An Alternating Augmented Lagrangian method for constrained nonconvex optimization.

Giulio Galvan, Matteo Lapucci, Tommaso Levato, Marco Sciandrone

Optim. Methods Softw., 2020

A concave optimization-based approach for sparse multiobjective programming.

Guido Cocchi, Tommaso Levato, Giampaolo Liuzzi, Marco Sciandrone

Optim. Lett., 2020

A unified convergence framework for nonmonotone inexact decomposition methods.

Leonardo Galli, Alessandro Galligari, Marco Sciandrone

Comput. Optim. Appl., 2020

On the convergence of steepest descent methods for multiobjective optimization.

Guido Cocchi, Giampaolo Liuzzi, Stefano Lucidi, Marco Sciandrone

Comput. Optim. Appl., 2020

2019

A computational study of path-based methods for optimal traffic assignment with both inelastic and elastic demand.

Alessandro Galligari, Marco Sciandrone

Comput. Oper. Res., 2019

2018

A convergent and fast path equilibration algorithm for the traffic assignment problem.

Alessandro Galligari, Marco Sciandrone

Optim. Methods Softw., 2018

Scheduling the Italian National Volleyball Tournament.

Guido Cocchi, Alessandro Galligari, Federica Picca Nicolino, Veronica Piccialli, Fabio Schoen, Marco Sciandrone

Interfaces, 2018

A nonmonotone trust-region method for generalized Nash equilibrium and related problems with strong convergence properties.

Leonardo Galli, Christian Kanzow, Marco Sciandrone

Comput. Optim. Appl., 2018

An implicit filtering algorithm for derivative-free multiobjective optimization with box constraints.

Guido Cocchi, Giampaolo Liuzzi, Anthony Papini, Marco Sciandrone

Comput. Optim. Appl., 2018

Nonlinear optimization and support vector machines.

Veronica Piccialli, Marco Sciandrone

4OR, 2018

2017

An Optimization-Based Method for Feature Ranking in Nonlinear Regression Problems.

Luca Bravi, Veronica Piccialli, Marco Sciandrone

IEEE Trans. Neural Networks Learn. Syst., 2017

2016

Decomposition Techniques for Multilayer Perceptron Training.

Luigi Grippo, Andrea Manno, Marco Sciandrone

IEEE Trans. Neural Networks Learn. Syst., 2016

A cubic regularization algorithm for unconstrained optimization using line search and nonmonotone techniques.

Tommaso Bianconcini, Marco Sciandrone

Optim. Methods Softw., 2016

2015

A convergent and efficient decomposition method for the traffic assignment problem.

David Di Lorenzo, Alessandro Galligari, Marco Sciandrone

Comput. Optim. Appl., 2015

On the use of iterative methods in cubic regularization for unconstrained optimization.

Tommaso Bianconcini, Giampaolo Liuzzi, Benedetta Morini, Marco Sciandrone

Comput. Optim. Appl., 2015

2014

A convergent inexact solution method for equilibrium problems.

David Di Lorenzo, Mauro Passacantando, Marco Sciandrone

Optim. Methods Softw., 2014

An incremental decomposition method for unconstrained optimization.

Luca Bravi, Marco Sciandrone

Appl. Math. Comput., 2014

2013

On the convergence of inexact block coordinate descent methods for constrained optimization.

Andrea Cassioli, David Di Lorenzo, Marco Sciandrone

Eur. J. Oper. Res., 2013

An incremental least squares algorithm for large scale linear classification.

Andrea Cassioli, A. Chiavaioli, Costanzo Manes, Marco Sciandrone

Eur. J. Oper. Res., 2013

2012

A concave optimization-based approach for sparse portfolio selection.

David Di Lorenzo, Giampaolo Liuzzi, Francesco Rinaldi, Fabio Schoen, Marco Sciandrone

Optim. Methods Softw., 2012

Machine learning for global optimization.

Andrea Cassioli, David Di Lorenzo, Marco Locatelli, Fabio Schoen, Marco Sciandrone

Comput. Optim. Appl., 2012

2011

Decomposition algorithms for generalized potential games.

Francisco Facchinei, Veronica Piccialli, Marco Sciandrone

Comput. Optim. Appl., 2011

2010

Real-Time Epileptic Seizure Prediction Using AR Models and Support Vector Machines.

Luigi Chisci, Antonio Mavino, Guido Perferi, Marco Sciandrone, Carmelo Anile, Gabriella Colicchio, Filomena Fuggetta

IEEE Trans. Biomed. Eng., 2010

Sequential Penalty Derivative-Free Methods for Nonlinear Constrained Optimization.

Giampaolo Liuzzi, Stefano Lucidi, Marco Sciandrone

SIAM J. Optim., 2010

Feature selection combining linear support vector machines and concave optimization.

Francesco Rinaldi, Marco Sciandrone

Optim. Methods Softw., 2010

Nonmonotone globalization of the finite-difference Newton-GMRES method for nonlinear equations.

Luigi Grippo, Marco Sciandrone

Optim. Methods Softw., 2010

Concave programming for minimizing the zero-norm over polyhedral sets.

Francesco Rinaldi, Fabio Schoen, Marco Sciandrone

Comput. Optim. Appl., 2010

2009

A Convergent Hybrid Decomposition Algorithm Model for SVM Training.

Stefano Lucidi, Laura Palagi, Arnaldo Risi, Marco Sciandrone

IEEE Trans. Neural Networks, 2009

A convergent decomposition method for box-constrained optimization problems.

Andrea Cassioli, Marco Sciandrone

Optim. Lett., 2009

A patient adaptable ECG beat classifier based on neural networks.

Andrea De Gaetano, Simona Panunzi, Francesco Rinaldi, Arnaldo Risi, Marco Sciandrone

Appl. Math. Comput., 2009

2007

A convergent decomposition algorithm for support vector machines.

Stefano Lucidi, Laura Palagi, Arnaldo Risi, Marco Sciandrone

Comput. Optim. Appl., 2007

Nonmonotone derivative-free methods for nonlinear equations.

Luigi Grippo, Marco Sciandrone

Comput. Optim. Appl., 2007

2006

A Derivative-Free Algorithm for Linearly Constrained Finite Minimax Problems.

Giampaolo Liuzzi, Stefano Lucidi, Marco Sciandrone

SIAM J. Optim., 2006

A Truncated Nonmonotone Gauss-Newton Method for Large-Scale Nonlinear Least-Squares Problems.

Giovanni Fasano, Francesco Lampariello, Marco Sciandrone

Comput. Optim. Appl., 2006

2005

An Algorithm Model for Mixed Variable Programming.

Stefano Lucidi, Veronica Piccialli, Marco Sciandrone

SIAM J. Optim., 2005

On the convergence of a modified version of SVM^<i>light</i> algorithm.

Laura Palagi, Marco Sciandrone

Optim. Methods Softw., 2005

2002

On the Global Convergence of Derivative-Free Methods for Unconstrained Optimization.

Stefano Lucidi, Marco Sciandrone

SIAM J. Optim., 2002

Objective-derivative-free methods for constrained optimization.

Stefano Lucidi, Marco Sciandrone, Paul Tseng

Math. Program., 2002

A Derivative-Free Algorithm for Bound Constrained Optimization.

Stefano Lucidi, Marco Sciandrone

Comput. Optim. Appl., 2002

Nonmonotone Globalization Techniques for the Barzilai-Borwein Gradient Method.

Luigi Grippo, Marco Sciandrone

Comput. Optim. Appl., 2002

2001

Efficient training of RBF neural networks for pattern recognition.

Francesco Lampariello, Marco Sciandrone

IEEE Trans. Neural Networks, 2001

Convergent Decomposition Techniques for Training RBF Neural Networks.

C. Buzzi, Luigi Grippo, Marco Sciandrone

Neural Comput., 2001

2000

On the convergence of the block nonlinear Gauss-Seidel method under convex constraints.

Luigi Grippo, Marco Sciandrone

Oper. Res. Lett., 2000