3 papers
math.OC2026
A Projected Stochastic Gradient Method for Finite-Sum Problems with Linear Equality Constraints
Natasa Krklec Jerinkic, Benedetta Morini, Mahsa Yousefi
A stochastic gradient method for finite-sum minimization subject to deterministic linear constraints is proposed and analyzed. The procedure presented adapts the projected gradient…
math.OC2025
AS-BOX: Additional Sampling Method for Weighted Sum Problems with Box Constraints
NataÅ¡a KrejiÄ, NataÅ¡a Krklec JerinkiÄ, Tijana OstojiÄ +1
A class of optimization problems characterized by a weighted finite-sum objective function subject to box constraints is considered. We propose a novel stochastic optimization meth…
math.OC2024
SLiSeS: Subsampled Line Search Spectral Gradient Method for Finite Sums
Stefania Bellavia, NataÅ¡a KrejiÄ, NataÅ¡a Krklec JerinkiÄ +1
The spectral gradient method is known to be a powerful low-cost tool for solving large-scale optimization problems. In this paper, our goal is to exploit its advantages in the stoc…