Laura Palagi
Laura Palagi
Verified email at uniroma1.it - Homepage
Title
Cited by
Cited by
Year
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
1751999
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
712002
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
522005
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 (1), 107-126, 2009
472009
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
461998
On exact augmented Lagrangian functions in nonlinear programming
G Di Pillo, S Lucidi
Nonlinear Optimization and Applications, 85-100, 1996
391996
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
322013
A convergent decomposition algorithm for support vector machines
S Lucidi, L Palagi, A Risi, M Sciandrone
Computational Optimization and Applications 38 (2), 217-234, 2007
322007
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
312018
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
262005
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
252009
SpeeDP: an algorithm to compute SDP bounds for very large Max-Cut instances
L Grippo, L Palagi, M Piacentini, V Piccialli, G Rinaldi
Mathematical programming 136 (2), 353-373, 2012
212012
Quartic formulation of standard quadratic optimization problems
IM Bomze, L Palagi
Journal of Global Optimization 32 (2), 181-205, 2005
212005
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
202012
An unconstrained minimization method for solving low-rank SDP relaxations of the maxcut problem
L Grippo, L Palagi, V Piccialli
Mathematical Programming 126 (1), 119-146, 2011
192011
Neural networks for small scale ORC optimization
A Massimiani, L Palagi, E Sciubba, L Tocci
Energy Procedia 129, 34-41, 2017
182017
An exact penalty-Lagrangian approach for a class of constrained optimization problems with bounded variables
G Di Pillo, S Lucidi, L Palagi
Optimization 28 (2), 129-148, 1993
181993
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
172020
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
172019
A truncated Newton method in an augmented Lagrangian framework for nonlinear programming
G Di Pillo, G Liuzzi, S Lucidi, L Palagi
Computational Optimization and Applications 45 (2), 311-352, 2010
172010
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