51 citations · 212 across the 63 of their papers we have counts for
67 papers
Distributed Fast Fixed-Point Algorithms for Composite Monotone Inclusions over Networks
Nghia Nguyen-Trung, Ion Necoara, Quoc Tran-Dinh
This paper aims to develop new and efficient distributed algorithms for solving a class of monotone inclusions, , over a connected network of …
Regularized coordinate minimization for nonconvex composite optimization with application to quantized image compression
Daniela Lupu, George T. Samoila, Adina M. Florea +1
This paper presents a regularized cyclic coordinate minimization method for solving nonconvex composite optimization problems having the objective function formed as the sum of two…
Hyperspectral Unmixing Hierarchies
Joseph L. Garrett, P. S. Vishnu, Pauliina Salmi +4
Unmixing reveals the spatial distribution and spectral details of different constituents, called endmembers, in a hyperspectral image. Because unmixing has limited ground truth req…
An accelerated randomized Bregman-Kaczmarz method for strongly convex linearly constraint optimization
Lionel Tondji, Dirk A. Lorenz, Ion Necoara
In this paper, we propose a randomized accelerated method for the minimization of a strongly convex function under linear constraints. The method is of Kaczmarz-type, i.e. it only…
Modified projected Gauss-Newton method for constrained nonlinear least-squares: application to power flow analysis
Yassine Nabou, Lucian Toma, Ion Necoara
In this paper, we consider a modified projected Gauss-Newton method for solving constrained nonlinear least-squares problems. We assume that the functional constraints are smooth a…
Coordinate projected gradient descent minimization and its application to orthogonal nonnegative matrix factorization
Flavia Chorobura, Daniela Lupu, Ion Necoara
In this paper we consider large-scale composite nonconvex optimization problems having the objective function formed as a sum of three terms, first has block coordinate-wise Lipsch…