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math.OC2020
LSOS: Line-search Second-Order Stochastic optimization methods for nonconvex finite sums
Daniela di Serafino, Nataša Krejić, Nataša Krklec Jerinkić +1
We develop a line-search second-order algorithmic framework for minimizing finite sums. We do not make any convexity assumptions, but require the terms of the sum to be continuousl…
math.OC2017★ 30 cited
A two-phase gradient method for quadratic programming problems with a single linear constraint and bounds on the variables
Daniela di Serafino, Gerardo Toraldo, Marco Viola +1
We propose a gradient-based method for quadratic programming problems with a single linear constraint and bounds on the variables. Inspired by the GPCG algorithm for bound-constrai…