9 citations · 20 across the 5 of their papers we have counts for
5 papers
On linear convergence of a distributed dual gradient algorithm for linearly constrained separable convex problems
Ion Necoara, Valentin Nedelcu
In this paper we propose a distributed dual gradient algorithm for minimizing linearly constrained separable convex problems and analyze its rate of convergence. In particular, we…
Distributed dual gradient methods and error bound conditions
Ion Necoara, Valentin Nedelcu
In this paper we propose distributed dual gradient algorithms for linearly constrained separable convex problems and analyze their rate of convergence under different assumptions.…
Computational Complexity of Inexact Gradient Augmented Lagrangian Methods: Application to Constrained MPC
Valentin Nedelcu, Ion Necoara, Quoc Tran Dinh
We study the computational complexity certification of inexact gradient augmented Lagrangian methods for solving convex optimization problems with complicated constraints. We solve…
Rate analysis of inexact dual first order methods: Application to distributed MPC for network systems
Ion Necoara, Valentin Nedelcu
In this paper we propose and analyze two dual methods based on inexact gradient information and averaging that generate approximate primal solutions for smooth convex optimization…
Parallel and distributed optimization methods for estimation and control in networks
Ion Necoara, Valentin Nedelcu, Ioan Dumitrache
System performance for networks composed of interconnected subsystems can be increased if the traditionally separated subsystems are jointly optimized. Recently, parallel and distr…