33 citations · 103 across the 18 of their papers we have counts for
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A non-monotone smoothing Newton algorithm for solving the system of generalized absolute value equations
Cairong Chen, Dongmei Yu, Deren Han +1
The system of generalized absolute value equations (GAVE) has attracted more and more attention in the optimization community. In this paper, by introducing a smoothing function, w…
An inexact Douglas-Rachford splitting method for solving absolute value equations
Cairong Chen, Dongmei Yu, Deren Han
The last two decades witnessed the increasing of the interests on the absolute value equations (AVE) of finding such that , where $A\in \mathbb{R}^{n…
Convergence on a symmetric accelerated stochastic ADMM with larger stepsizes
Jianchao Bai, Deren Han, Hao Sun +1
In this paper, we develop a symmetric accelerated stochastic Alternating Direction Method of Multipliers (SAS-ADMM) for solving separable convex optimization problems with linear c…
An inexact framework of the Newton-based matrix splitting iterative method for the generalized absolute value equation
Dongmei Yu, Cairong Chen, Deren Han
An inexact framework of the Newton-based matrix splitting (INMS) iterative method is developed to solve the generalized absolute value equation, whose exact version was proposed by…