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math.OC2019
Inexact restoration with subsampled trust-region methods for finite-sum minimization
Stefania Bellavia, Natasa Krejic, Benedetta Morini
Convex and nonconvex finite-sum minimization arises in many scientific computing and machine learning applications. Recently, first-order and second-order methods where objective f…
math.OC2019
Exact Spectral-Like Gradient Method for Distributed Optimization
Dusan Jakovetic, Natasa Krejic, Natasa Krklec Jerinkic
Since the initial proposal in the late 80s, spectral gradient methods continue to receive significant attention, especially due to their excellent numerical performance on various…