This page shows all publications that appeared in the IASI annual research reports.
Authors currently affiliated with the Institute are always listed with the full name.
You can browse through them using either the links of the following line or those associated with
author names.
Show all publications of the year
ALL, with author Sciandrone M., in the category Articles in Journals, Collections and Proceedings
(or show them all): (Items found: 33)
2015 | 2014 | 2012 | 2010 | 2007 | 2006 | 2005 | 2004 | 2003 | 2002 | 2001 | 2000 | 1999
2015 [top]
2014 [top]
- Bravi L., Marco Sciandrone: An incremental decomposition method for unconstrained optimization, Applied Mathematics and Computation 235, 80-86, 2014
- Di Lorenzo D., Galligari A., Marco Sciandrone: A convergent and efficient decomposition method for the traffic assignment problem, Computational Optimization and Applications, 2014
2012 [top]
2010 [top]
- Cassioli A., Di Lorenzo D., Locatelli M., Schoen F., Marco Sciandrone: Machine learning for global optimization, Computational Optimization and Applications, 2010
- Chisci L., Mavino A., Perferi G., Marco Sciandrone, Anile C., Colicchio G., Fuggetta F.: Real time epileptic seizure prediction using AR models and Support Vector Machines, IEEE Transactions on Biomedical Engineering 57, 1124-1132, 2010
- Facchinei F., Piccialli V., Marco Sciandrone: Decomposition Algorithms for Generalized Potential Games, Computational Optimization and Applications, 2010
- Giampaolo Liuzzi, Lucidi S., Marco Sciandrone: Sequential penalty derivative-free methods for nonlinear constrained optimization, SIAM Journal on Optimization 20, 2614-2635, 2010
- Rinaldi F., Marco Sciandrone: Feature selection combining linear support vector machines and concave optimization, Optimization Methods & Software 25, 117-128, 2010
2007 [top]
- Grippo L., Marco Sciandrone: Nonmonotone derivative-free methods for nonlinear equations, Computational Optimization and Applications 37, 297-328, 2007
- Lucidi S., Palagi L., Risi A., Marco Sciandrone: A convergent decomposition algorithm for support vector machines, Computational Optimization and Applications 38, 217-234, 2007
2006 [top]
- Fasano G., Lampariello F., Marco Sciandrone: A truncated nonmonotone Gauss-Newton method for large-scale nonlinear least-squares problems, Computational Optimization and Applications 34, 343-358, 2006
- Germani A., Manes C., Pasquale Palumbo, Marco Sciandrone: A higher order method for the solution of a nonlinear scalar equation, Journal of Optimization Theory and Applications 131, 347-364, 2006
- Giampaolo Liuzzi, Lucidi S., Marco Sciandrone: A derivative-free algorithm for linearly constrained finite minimax problems, SIAM Journal on Optimization 16, 1054-1075, 2006
2005 [top]
2004 [top]
2003 [top]
- Lampariello F., Marco Sciandrone: Use of the ``minimum norm'' search direction in a nonmonotone version of the Gauss-Newton method, Journal of Optimization Theory and Applications 119, 65-82, 2003
2002 [top]
- Grippo L., Marco Sciandrone: Nonmonotone globalization techniques for the Barziali-Borwein gradient method, Computational Optimization and Applications 23, 143-169, 2002
- Lucidi S., Marco Sciandrone: On the global convergence of derivative-free methods for unconstrained optimization, SIAM Journal on Optimization 13, 97-116, 2002
- Lucidi S., Marco Sciandrone: A derivative-free algorithm for bound constrained optimization, Computational Optimization and Applications 21, 119-142, 2002
- Lucidi S., Marco Sciandrone, Tseng P.: Objective-derivative-free methods for constrained optimization, Mathematical Programming 92, 37-59, 2002
2001 [top]
- Buzzi C., Grippo L., Marco Sciandrone: Convergent Decomposition Techniques for Training RBF Neural Networks, Neural Computation 13, 1891-1920, 2001
- Grippo L., Marco Sciandrone: Nonmonotone gradient methods for neural network training, in the Proceedings of 20th IFIP TC7 Conference on System Modelling and Optimization, 2001
- Lampariello F., Marco Sciandrone: Efficient Training of RBF Neural Networks for Pattern Recognition, IEEE Transactions on Neural Networks 12, 1235-1242, 2001
- Lampariello F., Marco Sciandrone: Global Convergence Technique for the Newton Method with Periodic Hessian Evaluation, Journal of Optimization Theory and Applications 111, 341-358, 2001
- Lampariello F., Marco Sciandrone: Nonmonotone Gauss-Newton methods for unconstrained least-squares problems, in the Proceedings of 20th IFIP TC7 Conference on System Modelling and Optimization, 2001
- Lucidi S., Palagi L., Marco Sciandrone: Exact penalty function methods for training support vector machines, in the Proceedings of 20th IFIP TC7 Conference on System Modelling and Optimization, 2001
- Lucidi S., Palagi L., Marco Sciandrone: Feature selection using support vector machines, in the Proceedings of Giornate di Lavoro AIRO 2001: La Ricerca Operativa nella Gestione del Territorio e delle Risorse., 2001
- Marzilli E., Marco Sciandrone: Multiobjective optimization for neural network training, in the Proceedings of Giornate di Lavoro AIRO 2001: La Ricerca Operativa nella Gestione del Territorio e delle Risorse., 2001
2000 [top]
- Grippo L., Marco Sciandrone: On the convergence of the block nonlinear Gauss-Seidel method under convex constraints, Operations Research Letters 26, 127-136, 2000
- Marco Sciandrone, Placidi G., Testa L., Sotgiu A.: Compact low field magnetic resonance imaging magnet: design and optimization, Review of Scientific Instruments 71, 1534-1538, 2000
1999 [top]
- Grippo L., Marco Sciandrone: Globally convergent block-coordinate techniques for unconstrained optimization, Optimization Methods & Software 10, 587-637, 1999
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