In order to achieve a theoretically effective and numerically efficient method for solving large-scale unconstrained optimization problems, a hybridization of the Fletcher-Reeves and Polak-Ribière-Polyak conjugate gradient methods is proposed...

from the desired scalability, a natural solution is to distribute graph of the network on a number of processing machines and perform the execution in parallel. In this paper, existing works on distributed large-scale graph processing are reviewed...

Based on a singular value analysis on an extension of the Polak–Ribière–Polyak method, a nonlinear conjugate gradient method with the following two optimal features is proposed: the condition number of its search direction ...