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Andrei Patrascu
Andrei Patrascu
Geverifieerd e-mailadres voor fmi.unibuc.ro - Homepage
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A random coordinate descent algorithm for optimization problems with composite objective function and linear coupled constraints
I Necoara, A Patrascu
Computational Optimization and Applications 57 (2), 307-337, 2014
1072014
Efficient random coordinate descent algorithms for large-scale structured nonconvex optimization
A Patrascu, I Necoara
Journal of Global Optimization 61 (1), 19-46, 2015
992015
Nonasymptotic convergence of stochastic proximal point methods for constrained convex optimization
A Patrascu, I Necoara
Journal of Machine Learning Research 18 (198), 1-42, 2018
832018
Complexity of first-order inexact Lagrangian and penalty methods for conic convex programming
I Necoara, A Patrascu, F Glineur
Optimization Methods and Software 34 (2), 305-335, 2019
522019
Randomized projection methods for convex feasibility: Conditioning and convergence rates
I Necoara, P Richtárik, A Patrascu
SIAM Journal on Optimization 29 (4), 2814-2852, 2019
472019
Iteration complexity analysis of dual first-order methods for conic convex programming
I Necoara, A Patrascu
Optimization Methods and Software 31 (3), 645-678, 2016
38*2016
Random Coordinate Descent Methods forRegularized Convex Optimization
A Patrascu, I Necoara
IEEE Transactions on Automatic Control 60 (7), 1811-1824, 2015
352015
Adaptive inexact fast augmented Lagrangian methods for constrained convex optimization
A Patrascu, I Necoara, Q Tran-Dinh
Optimization Letters 11, 609-626, 2017
272017
On the convergence of inexact projection primal first-order methods for convex minimization
A Patrascu, I Necoara
IEEE Transactions on Automatic Control 63 (10), 3317-3329, 2018
142018
Community-level anomaly detection for anti-money laundering
A Baltoiu, A Patrascu, P Irofti
arXiv preprint arXiv:1910.11313, 2019
72019
Rate of convergence analysis of a dual fast gradient method for general convex optimization
A Patrascu, I Necoara, R Findeisen
2015 54th IEEE Conference on Decision and Control (CDC), 3311-3316, 2015
72015
DuQuad: an inexact (augmented) dual first order algorithm for quadratic programming
I Necoara, A Patrascu
arXiv preprint arXiv:1504.05708, 2015
52015
Fraud detection in networks: State-of-the-art
P Irofti, A Patrascu, A Baltoiu
arXiv preprint arXiv:1910.11299, 2019
42019
Efficient first order methods for sparse convex optimization
A Patrascu
PhD Thesis. University Politehnica of Bucharest, 2015. http://acse. pub. ro …, 0
4
Complexity certifications of first-order inexact lagrangian methods for general convex programming: Application to real-time mpc
I Necoara, A Patrascu, A Nedić
Developments in Model-Based Optimization and Control: Distributed Control …, 2015
32015
A random coordinate descent algorithm for large-scale sparse nonconvex optimization
A Patrascu, I Necoara
2013 European Control Conference (ECC), 2789-2794, 2013
32013
Complexity certifications of inexact projection primal gradient method for convex problems: Application to embedded MPC
A Patrascu, I Necoara
2016 24th Mediterranean Conference on Control and Automation (MED), 125-130, 2016
22016
Implementable fast augmented Lagrangian optimization algorithm with application in embedded MPC
A Patrascu, I Necoara, M Barbu, S Caraman
2015 19th International Conference on System Theory, Control and Computing …, 2015
22015
A proximal alternating minimization method for ℓ0-regularized nonlinear optimization problems: application to state estimation
A Patrascu, I Necoara, P Patrinos
53rd IEEE Conference on Decision and Control, 4254-4259, 2014
22014
A linear MPC algorithm for embedded systems with computational complexity guarantees
I Necoara, F Stoican, D Clipici, A Patrascu, M Hovd
2014 18th International Conference on System Theory, Control and Computing …, 2014
22014
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Artikelen 1–20