3 papers
math.NA2026
Relaxed Greedy Randomized Kaczmarz with Signal Averaging for Solving Doubly-Noisy Linear Systems
Lu Zhang, Jinchuan Zeng, Hui Zhang
Large-scale linear systems of the form are often doubly-noisy, in the sense that both its measurement matrix and measurement vector are noisy. In this paper, we exte…
math.OC2026
Stochastic Block Bregman Projection with Polyak-like Stepsize for Possibly Inconsistent Convex Feasibility Problems
Lu Zhang, Hongzhen Chen, Hongxia Wang +1
Stochastic projection algorithms for solving convex feasibility problems (CFPs) have attracted considerable attention due to their broad applicability. In this paper, we propose a…
math.OC2026
Adaptive Momentum via Minimal Dual Function for Accelerating Randomized Sparse Kaczmarz
Lu Zhang, Jinchuan Zeng, Hongxia Wang +1
Recently, the randomized sparse Kaczmarz method has been accelerated by designing heavy ball momentum adaptively via a minimal-error principle. In this paper, we develop a new adap…