Marco Sciandrone

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Ann. Oper. Res., 2022

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

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Riccardo Bisori

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Matteo Lapucci

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4OR, 2022

Convergent Inexact Penalty Decomposition Methods for Cardinality-Constrained Problems.

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Matteo Lapucci

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Tommaso Levato

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J. Optim. Theory Appl., 2021

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

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J. Mach. Learn. Res., 2021

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

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Giulio Galvan

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Comput. Optim. Appl., 2021

An Alternating Augmented Lagrangian method for constrained nonconvex optimization.

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Optim. Methods Softw., 2020

A concave optimization-based approach for sparse multiobjective programming.

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Optim. Lett., 2020

A unified convergence framework for nonmonotone inexact decomposition methods.

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Leonardo Galli

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Comput. Optim. Appl., 2020

On the convergence of steepest descent methods for multiobjective optimization.

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Comput. Optim. Appl., 2020

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

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Comput. Oper. Res., 2019

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

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Optim. Methods Softw., 2018

Scheduling the Italian National Volleyball Tournament.

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Guido Cocchi

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Federica Picca Nicolino

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Fabio Schoen

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Interfaces, 2018

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

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Leonardo Galli

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Christian Kanzow

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Comput. Optim. Appl., 2018

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

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Comput. Optim. Appl., 2018

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

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Luca Bravi

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IEEE Trans. Neural Networks Learn. Syst., 2017

Decomposition Techniques for Multilayer Perceptron Training.

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Andrea Manno

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IEEE Trans. Neural Networks Learn. Syst., 2016

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

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Tommaso Bianconcini

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Optim. Methods Softw., 2016

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

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David Di Lorenzo

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Comput. Optim. Appl., 2015

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

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Comput. Optim. Appl., 2015

A convergent inexact solution method for equilibrium problems.

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David Di Lorenzo

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Mauro Passacantando

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Optim. Methods Softw., 2014

An incremental decomposition method for unconstrained optimization.

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Luca Bravi

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Appl. Math. Comput., 2014

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

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Andrea Cassioli

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David Di Lorenzo

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Eur. J. Oper. Res., 2013

An incremental least squares algorithm for large scale linear classification.

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Eur. J. Oper. Res., 2013

A concave optimization-based approach for sparse portfolio selection.

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Optim. Methods Softw., 2012

Machine learning for global optimization.

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Comput. Optim. Appl., 2012

Decomposition algorithms for generalized potential games.

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Francisco Facchinei

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Comput. Optim. Appl., 2011

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

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IEEE Trans. Biomed. Eng., 2010

Sequential Penalty Derivative-Free Methods for Nonlinear Constrained Optimization.

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Giampaolo Liuzzi

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SIAM J. Optim., 2010

Feature selection combining linear support vector machines and concave optimization.

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Francesco Rinaldi

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Optim. Methods Softw., 2010

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

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Optim. Methods Softw., 2010

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

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Francesco Rinaldi

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Fabio Schoen

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Comput. Optim. Appl., 2010

A Convergent Hybrid Decomposition Algorithm Model for SVM Training.

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IEEE Trans. Neural Networks, 2009

A convergent decomposition method for box-constrained optimization problems.

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Andrea Cassioli

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Optim. Lett., 2009

A patient adaptable ECG beat classifier based on neural networks.

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Appl. Math. Comput., 2009

A convergent decomposition algorithm for support vector machines.

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Comput. Optim. Appl., 2007

Nonmonotone derivative-free methods for nonlinear equations.

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Comput. Optim. Appl., 2007

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

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Giampaolo Liuzzi

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SIAM J. Optim., 2006

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

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Giovanni Fasano

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Francesco Lampariello

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Comput. Optim. Appl., 2006

An Algorithm Model for Mixed Variable Programming.

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SIAM J. Optim., 2005

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

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Laura Palagi

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Optim. Methods Softw., 2005

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

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SIAM J. Optim., 2002

Objective-derivative-free methods for constrained optimization.

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Paul Tseng

Math. Program., 2002

A Derivative-Free Algorithm for Bound Constrained Optimization.

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Comput. Optim. Appl., 2002

Nonmonotone Globalization Techniques for the Barzilai-Borwein Gradient Method.

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Comput. Optim. Appl., 2002

Efficient training of RBF neural networks for pattern recognition.

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Francesco Lampariello

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IEEE Trans. Neural Networks, 2001

Convergent Decomposition Techniques for Training RBF Neural Networks.

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C. Buzzi

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Neural Comput., 2001

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

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