| 1 |
H-2 Model Reduction of Linear Network Systems by Moment Matching and Optimization
Necoara I, Ionescu TC
IEEE Transactions on Automatic Control, 65(12), 5328, 2020 |
| 2 |
Random Minibatch Subgradient Algorithms for Convex Problems with Functional Constraints
Nedic A, Necoara I
Applied Mathematics and Optimization, 80(3), 801, 2019 |
| 3 |
On the Convergence of Inexact Projection Primal First-Order Methods for Convex Minimization
Patrascu A, Necoara I
IEEE Transactions on Automatic Control, 63(10), 3317, 2018 |
| 4 |
On linear convergence of a distributed dual gradient algorithm for linearly constrained separable convex problems
Necoara I, Nedelcu V
Automatica, 55, 209, 2015 |
| 5 |
Random Coordinate Descent Methods for l(0) Regularized Convex Optimization
Patrascu A, Necoara I
IEEE Transactions on Automatic Control, 60(7), 1811, 2015 |
| 6 |
Rate Analysis of Inexact Dual First-Order Methods Application to Dual Decomposition
Necoara I, Nedelcu V
IEEE Transactions on Automatic Control, 59(5), 1232, 2014 |
| 7 |
COMPUTATIONAL COMPLEXITY OF INEXACT GRADIENT AUGMENTED LAGRANGIAN METHODS: APPLICATION TO CONSTRAINED MPC
Nedelcu V, Necoara I, Quoc TD
SIAM Journal on Control and Optimization, 52(5), 3109, 2014 |
| 8 |
Random Coordinate Descent Algorithms for Multi-Agent Convex Optimization Over Networks
Necoara I
IEEE Transactions on Automatic Control, 58(8), 2001, 2013 |
| 9 |
Efficient parallel coordinate descent algorithm for convex optimization problems with separable constraints: Application to distributed MPC
Necoara I, Clipici D
Journal of Process Control, 23(3), 243, 2013 |
| 10 |
Parallel and distributed optimization methods for estimation and control in networks
Necoara I, Nedelcu V, Dumitrache I
Journal of Process Control, 21(5), 756, 2011 |
