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Panagiotis (Panos) Patrinos
Panagiotis (Panos) Patrinos
Associate Professor, KU Leuven
Verified email at esat.kuleuven.be - Homepage
Title
Cited by
Cited by
Year
Dynamic modeling and control of supply chain systems: A review
H Sarimveis, P Patrinos, CD Tarantilis, CT Kiranoudis
Computers & operations research 35 (11), 3530-3561, 2008
5522008
Time series sales forecasting for short shelf-life food products based on artificial neural networks and evolutionary computing
P Doganis, A Alexandridis, P Patrinos, H Sarimveis
Journal of Food Engineering 75 (2), 196-204, 2006
2662006
An accelerated dual gradient-projection algorithm for embedded linear model predictive control
P Patrinos, A Bemporad
IEEE Transactions on Automatic Control 59 (1), 18-33, 2013
2512013
Forward–backward quasi-Newton methods for nonsmooth optimization problems
L Stella, A Themelis, P Patrinos
Computational Optimization and Applications 67 (3), 443-487, 2017
1132017
A two-stage evolutionary algorithm for variable selection in the development of RBF neural network models
A Alexandridis, P Patrinos, H Sarimveis, G Tsekouras
Chemometrics and intelligent laboratory systems 75 (2), 149-162, 2005
1022005
A simple and efficient algorithm for nonlinear model predictive control
L Stella, A Themelis, P Sopasakis, P Patrinos
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 1939-1944, 2017
922017
Stochastic MPC for real-time market-based optimal power dispatch
P Patrinos, S Trimboli, A Bemporad
2011 50th IEEE Conference on Decision and Control and European Controlá…, 2011
872011
Stochastic model predictive control for constrained discrete-time Markovian switching systems
P Patrinos, P Sopasakis, H Sarimveis, A Bemporad
Automatica 50 (10), 2504-2514, 2014
852014
Forward-backward envelope for the sum of two nonconvex functions: Further properties and nonmonotone linesearch algorithms
A Themelis, L Stella, P Patrinos
SIAM Journal on Optimization 28 (3), 2274-2303, 2018
832018
Douglas-Rachford splitting: Complexity estimates and accelerated variants
P Patrinos, L Stella, A Bemporad
53rd IEEE Conference on Decision and Control, 4234-4239, 2014
812014
Asymmetric forward–backward–adjoint splitting for solving monotone inclusions involving three operators
P Latafat, P Patrinos
Computational Optimization and Applications 68 (1), 57-93, 2017
752017
Douglas--Rachford splitting and ADMM for nonconvex optimization: Tight convergence results
A Themelis, P Patrinos
SIAM Journal on Optimization 30 (1), 149-181, 2020
74*2020
Douglas-Rachford splitting and ADMM for nonconvex optimization: tight convergence results
A Themelis, P Patrinos
arXiv preprint arXiv:1709.05747, 2017
742017
Embedded nonlinear model predictive control for obstacle avoidance using PANOC
A Sathya, P Sopasakis, R Van Parys, A Themelis, G Pipeleers, P Patrinos
2018 European control conference (ECC), 1523-1528, 2018
732018
Simple and certifiable quadratic programming algorithms for embedded linear model predictive control
A Bemporad, P Patrinos
IFAC Proceedings Volumes 45 (17), 14-20, 2012
702012
A new randomized block-coordinate primal-dual proximal algorithm for distributed optimization
P Latafat, NM Freris, P Patrinos
IEEE Transactions on Automatic Control 64 (10), 4050-4065, 2019
622019
Proximal Newton methods for convex composite optimization
P Patrinos, A Bemporad
52nd IEEE Conference on Decision and Control, 2358-2363, 2013
612013
A new algorithm for solving convex parametric quadratic programs based on graphical derivatives of solution mappings
P Patrinos, H Sarimveis
Automatica 46 (9), 1405-1418, 2010
572010
SuperMann: a superlinearly convergent algorithm for finding fixed points of nonexpansive operators
A Themelis, P Patrinos
IEEE Transactions on Automatic Control 64 (12), 4875-4890, 2019
562019
Stabilizing linear model predictive control under inexact numerical optimization
M Rubagotti, P Patrinos, A Bemporad
IEEE Transactions on Automatic Control 59 (6), 1660-1666, 2014
562014
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