33 citations · 103 across the 18 of their papers we have counts for
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On greedy multi-step inertial randomized Kaczmarz method for solving linear systems
Yansheng Su, Deren Han, Yun Zeng +1
The multi-step inertial randomized Kaczmarz (MIRK) method is an iterative method for solving large-scale linear systems. In this paper, we enhance the MIRK method by incorporating…
Stochastic dual coordinate descent with adaptive heavy ball momentum for linearly constrained convex optimization
Yun Zeng, Deren Han, Yansheng Su +1
The problem of finding a solution to the linear system with certain minimization properties arises in numerous scientific and engineering areas. In the era of big data, th…
On the convergence analysis of the greedy randomized Kaczmarz method
Yansheng Su, Deren Han, Yun Zeng +1
In this paper, we analyze the greedy randomized Kaczmarz (GRK) method proposed in Bai and Wu (SIAM J. Sci. Comput., 40(1):A592--A606, 2018) for solving linear systems. We develop m…
Randomized Kaczmarz method with adaptive stepsizes for inconsistent linear systems
Yun Zeng, Deren Han, Yansheng Su +1
We investigate the randomized Kaczmarz method that adaptively updates the stepsize using readily available information for solving inconsistent linear systems. A novel geometric in…
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…
Optimal parameter for the SOR-like iteration method for solving the system of absolute value equations
Cairong Chen, Dongmei Yu, Deren Han
The SOR-like iteration method for solving the absolute value equations~(AVE) of finding a vector such that with is investigated. The co…