Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Nedelcu, Valentin"'
Autor:
Necoara, Ion, Nedelcu, Valentin
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 prove that under the assumption of strong convexity and Lipshitz conti
Externí odkaz:
http://arxiv.org/abs/1406.3720
Autor:
Stoichitoiu Laura Elena, Pinte Larisa, Balea Marius Ioan, Nedelcu Valentin, Badea Camelia, Baicus Cristian
Publikováno v:
Romanian Journal of Internal Medicine, Vol 58, Iss 4, Pp 251-258 (2020)
Introduction. COVID-19 disease was associated with both thrombo-embolic events and in-situ thrombi formation in small vessels. Antiphospholipidic antibodies were found in some studies.
Externí odkaz:
https://doaj.org/article/ec63c8b0d23b47a4b98b7728db9c4df5
Autor:
Necoara, Ion, Nedelcu, Valentin
In this paper we propose distributed dual gradient algorithms for linearly constrained separable convex problems and analyze their rate of convergence under different assumptions. Under the strong convexity assumption on the primal objective function
Externí odkaz:
http://arxiv.org/abs/1401.4398
We study the computational complexity certification of inexact gradient augmented Lagrangian methods for solving convex optimization problems with complicated constraints. We solve the augmented Lagrangian dual problem that arises from the relaxation
Externí odkaz:
http://arxiv.org/abs/1302.4355
Autor:
Necoara, Ion, Nedelcu, Valentin
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 problems. The complicating constraints are moved into the cost using t
Externí odkaz:
http://arxiv.org/abs/1302.3129
Publikováno v:
Journal of Process Control, Volume 21, Issue 5, June 2011, Pages 756-766
System performance for networks composed of interconnected subsystems can be increased if the traditionally separated subsystems are jointly optimized. Recently, parallel and distributed optimization methods have emerged as a powerful tool for solvin
Externí odkaz:
http://arxiv.org/abs/1302.3103
Publikováno v:
In IFAC PapersOnLine July 2017 50(1):2788-2793
Publikováno v:
In IFAC Proceedings Volumes 2014 47(3):2927-2932
Publikováno v:
In IFAC Proceedings Volumes January 2011 44(1):2464-2469
Publikováno v:
In Journal of Process Control 2011 21(5):756-766