Laura Palagi
Laura Palagi
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A mathematical programming approach for the solution of the railway yield management problem
A Ciancimino, G Inzerillo, S Lucidi, L Palagi
Transportation science 33 (2), 168-181, 1999
A MILP methodology to optimize sizing of PV-Wind renewable energy systems
R Lamedica, E Santini, A Ruvio, L Palagi, I Rossetta
Energy 165, 385-398, 2018
A truncated Newton algorithm for large scale box constrained optimization
F Facchinei, S Lucidi, L Palagi
SIAM Journal on Optimization 12 (4), 1100-1125, 2002
Decomposition algorithm model for singly linearly-constrained problems subject to lower and upper bounds
CJ Lin, S Lucidi, L Palagi, A Risi, M Sciandrone
Journal of Optimization Theory and Applications 141, 107-126, 2009
On the convergence of a modified version of SVM light algorithm
L Palagi, M Sciandrone
Optimization methods and Software 20 (2-3), 317-334, 2005
Machine Learning for the prediction of the dynamic behavior of a small scale ORC system
L Palagi, A Pesyridis, E Sciubba, L Tocci
Energy 166, 72-82, 2019
On some properties of quadratic programs with a convex quadratic constraint
S Lucidi, L Palagi, M Roma
SIAM Journal on Optimization 8 (1), 105-122, 1998
Considering patient clinical history impacts performance of machine learning models in predicting course of multiple sclerosis
R Seccia, D Gammelli, F Dominici, S Romano, AC Landi, M Salvetti, ...
PloS one 15 (3), e0230219, 2020
On exact augmented Lagrangian functions in nonlinear programming
G Di Pillo, S Lucidi
Nonlinear Optimization and Applications, 85-100, 1996
A neural network approach to the combined multi-objective optimization of the thermodynamic cycle and the radial inflow turbine for Organic Rankine cycle applications
L Palagi, E Sciubba, L Tocci
Applied energy 237, 210-226, 2019
Data of patients undergoing rehabilitation programs
R Seccia, M Boresta, F Fusco, E Tronci, E Di Gemma, L Palagi, ...
Data in brief 30, 105419, 2020
A convergent decomposition algorithm for support vector machines
S Lucidi, L Palagi, A Risi, M Sciandrone
Computational Optimization and Applications 38, 217-234, 2007
Machine learning use for prognostic purposes in multiple sclerosis
R Seccia, S Romano, M Salvetti, A Crisanti, L Palagi, F Grassi
Life 11 (2), 122, 2021
Neural networks for small scale ORC optimization
A Massimiani, L Palagi, E Sciubba, L Tocci
Energy Procedia 129, 34-41, 2017
An exact algorithm for nonconvex quadratic integer minimization using ellipsoidal relaxations
C Buchheim, M De Santis, L Palagi, M Piacentini
SIAM Journal on Optimization 23 (3), 1867-1889, 2013
Computational approaches to max-cut
L Palagi, V Piccialli, F Rendl, G Rinaldi, A Wiegele
Handbook on semidefinite, conic and polynomial optimization, 821-847, 2012
A convergent hybrid decomposition algorithm model for SVM training
S Lucidi, L Palagi, A Risi, M Sciandrone
IEEE Transactions on Neural Networks 20 (6), 1055-1060, 2009
Convergence to second-order stationary points of a primal-dual algorithm model for nonlinear programming
G Di Pillo, S Lucidi, L Palagi
Mathematics of Operations Research 30 (4), 897-915, 2005
Optimal siting and sizing of wayside energy storage systems in a DC railway line
R Lamedica, A Ruvio, L Palagi, N Mortelliti
Energies 13 (23), 6271, 2020
Quartic formulation of standard quadratic optimization problems
IM Bomze, L Palagi
Journal of Global Optimization 32, 181-205, 2005
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Artículos 1–20