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math.OC2026
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…
math.OC2025★ 1 cited
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…
math.OC2024
Exact representation and efficient approximations of linear model predictive control laws via HardTanh type deep neural networks
Daniela Lupu, Ion Necoara
Deep neural networks have revolutionized many fields, including image processing, inverse problems, text mining and more recently, give very promising results in systems and contro…