activity
20192026
most citedStochastic dual coordinate descent with adaptive heavy ball momentum for linearly constrained convex optimization

2 citations · 11 across the 16 of their papers we have counts for

collaborators
Showing math.NAShow all

7 papers · 1 filter

math.NA2026

On subspace-constrained preconditioning for randomized iterative methods

Yonghan Sun, Hou-Duo Qi, Deren Han +1

In this paper, we further investigate and refine the subspace-constrained preconditioning technique to enhance the theoretical and numerical convergence properties of randomized it…

math.NA2026

Randomized conjugate gradient least squares

Yun Zeng, Jian-Feng Cai, Deren Han +1

We develop a novel randomized conjugate gradient least squares (RCGLS) method for solving least-squares problems, in which iterative sketching is employed at each step to reduce th…

math.NA2026

Linear convergence of Gearhart-Koshy accelerated Kaczmarz methods for tensor linear systems

Yijie Wang, Yonghan Sun, Deren Han +1

The generalized Gearhart-Koshy acceleration is a recent exact affine search technique designed for the method of cyclic projections onto hyperplanes, i.e., the Kaczmarz method. How…

math.NA2023

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…

math.NA2023★ 2 cited

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…

math.NA2023★ 2 cited

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…

math.NA2023

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…