Andreas Themelis
Andreas Themelis
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Forward-backward quasi-Newton methods for nonsmooth optimization problems
L Stella, A Themelis, P Patrinos
Computational Optimization and Applications 30 (2), 1-45, 2017
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
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
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
Douglas--Rachford Splitting and ADMM for Nonconvex Optimization: Tight Convergence Results
A Themelis, P Patrinos
SIAM Journal on Optimization 30 (1), 149-181, 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
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
Bregman forward-backward splitting for nonconvex composite optimization: superlinear convergence to nonisolated critical points
M Ahookhosh, A Themelis, P Patrinos
arXiv preprint arXiv:1905.11904, 2019
Newton-type alternating minimization algorithm for convex optimization
L Stella, A Themelis, P Patrinos
IEEE Transactions on Automatic Control 64 (2), 697-711, 2018
Stochastic gradient methods for stochastic model predictive control
A Themelis, S Villa, P Patrinos, A Bemporad
2016 European Control Conference (ECC), 154-159, 2016
Proximal Algorithms for Structured Nonconvex Optimization
A Themelis
PhD thesis, KU Leuven/IMT Lucca, 2018
Block-coordinate and incremental aggregated nonconvex proximal gradient methods: a unified view
P Latafat, A Themelis, P Patrinos
arXiv preprint arXiv:1906.10053, 2019
QPALM: A Newton-type Proximal Augmented Lagrangian Method for Quadratic Programs
B Hermans, A Themelis, P Patrinos
arXiv preprint arXiv:1911.02934, 2019
A primal-dual line search method and applications in image processing
P Sopasakis, A Themelis, J Suykens, P Patrinos
2017 25th European Signal Processing Conference (EUSIPCO), 1065-1069, 2017
A quadratically convergent proximal algorithm for nonnegative tensor decomposition
N Vervliet, A Themelis, P Patrinos, L De Lathauwer
arXiv preprint arXiv:2003.03502, 2020
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