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Andreas Themelis
Andreas Themelis
Email verificata su m.kyushu-u.ac.jp
Titolo
Citata da
Citata da
Anno
Forward-backward quasi-Newton methods for nonsmooth optimization problems
L Stella, A Themelis, P Patrinos
Computational Optimization and Applications 30 (2), 1-45, 2017
992017
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
792017
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
712018
Douglas--Rachford Splitting and ADMM for Nonconvex Optimization: Tight Convergence Results
A Themelis, P Patrinos
SIAM Journal on Optimization 30 (1), 149-181, 2020
60*2020
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
602018
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
522019
A Bregman forward-backward linesearch algorithm for nonconvex composite optimization: superlinear convergence to nonisolated local minima
M AHOOKHOSH, A THEMELIS, P PATRINOS
SIAM Journal on Optimization 31 (1), 653-685, 2021
21*2021
On the acceleration of forward-backward splitting via an inexact Newton method
A Themelis, M Ahookhosh, P Patrinos
Splitting Algorithms, Modern Operator Theory, and Applications, 363-412, 2019
162019
QPALM: A newton-type proximal augmented lagrangian method for quadratic programs
B Hermans, A Themelis, P Patrinos
2019 IEEE 58th Conference on Decision and Control (CDC), 4325-4330, 2019
112019
Newton-type alternating minimization algorithm for convex optimization
L Stella, A Themelis, P Patrinos
IEEE Transactions on Automatic Control 64 (2), 697-711, 2018
112018
Proximal Algorithms for Structured Nonconvex Optimization
A Themelis
PhD thesis, KU Leuven/IMT Lucca, 2018
92018
Block-coordinate and incremental aggregated nonconvex proximal gradient methods: a unified view
P Latafat, A Themelis, P Patrinos
Mathematical Programming, 2021
5*2021
Qpalm: A proximal augmented lagrangian method for nonconvex quadratic programs
B Hermans, A Themelis, P Patrinos
Mathematical Programming Computation, 1-45, 2022
42022
Neural Network Training as an Optimal Control Problem: An Augmented Lagrangian Approach
B Evens, P Latafat, A Themelis, J Suykens, P Patrinos
arXiv preprint arXiv:2103.14343, 2021
42021
Bregman Finito/MISO for nonconvex regularized finite sum minimization without Lipschitz gradient continuity
P Latafat, A Themelis, M Ahookhosh, P Patrinos
arXiv preprint arXiv:2102.10312, 2021
42021
Stochastic gradient methods for stochastic model predictive control
A Themelis, S Villa, P Patrinos, A Bemporad
2016 European Control Conference (ECC), 154-159, 2016
42016
Lasry-Lions Envelopes and Nonconvex Optimization: A Homotopy Approach
M Sim§es, A Themelis, P Patrinos
2021 29th European Signal Processing Conference (EUSIPCO), 2089-2093, 2021
22021
A new envelope function for nonsmooth DC optimization
A Themelis, B Hermans, P Patrinos
2020 59th IEEE Conference on Decision and Control (CDC), 4697-4702, 2020
22020
Douglas-Rachford splitting and ADMM for nonconvex optimization: Accelerated and Newton-type algorithms
A Themelis, L Stella, P Patrinos
arXiv preprint arXiv:2005.10230, 2020
22020
Flock navigation with dynamic hierarchy and subjective weights using nonlinear MPC
A Nag, S Huang, A Themelis, K Yamamoto
arXiv preprint arXiv:2202.11331, 2022
12022
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
Articoli 1–20