2 citations · 11 across the 16 of their papers we have counts for
4 papers · 1 filter
On adaptive stochastic heavy ball momentum for solving linear systems
Yun Zeng, Deren Han, Yansheng Su +1
The stochastic heavy ball momentum (SHBM) method has gained considerable popularity as a scalable approach for solving large-scale optimization problems. However, one limitation of…
A greedy randomized average block projection method for linear feasibility problems
Lin Zhu, Yuan Lei, Jiaxin Xie
The randomized projection (RP) method is a simple iterative scheme for solving linear feasibility problems and has recently gained popularity due to its speed and low memory requir…
On pseudoinverse-free randomized methods for linear systems: Unified framework and acceleration
Deren Han, Jiaxin Xie
We present a new framework for the analysis and design of randomized algorithms for solving various types of linear systems, including consistent or inconsistent, full rank or rank…
Randomized Douglas-Rachford methods for linear systems: Improved accuracy and efficiency
Deren Han, Yansheng Su, Jiaxin Xie
The Douglas-Rachford (DR) method is a widely used method for finding a point in the intersection of two closed convex sets (feasibility problem). However, the method converges weak…