3 papers
math.NA2026
Iterative Thresholding Pursuit with Continuation for -Regularized Sparse Recovery
Junxi Wu, Zeyu Dong, Jun-Feng Yin
Sparse recovery aims to reconstruct sparse signals from underdetermined and possibly noisy linear measurements. Existing iterative thresholding schemes are first-order…
math.NA2026
Adaptive Randomized Extended Bregman-Kaczmarz Method for Combined Optimization Problems
Zeyu Dong, Aqin Xiao, Guojian Yin +1
Combined optimization problems that couple data-fidelity and regularization terms arise naturally in a wide range of inverse problems. In this paper, we study an adaptive randomize…
math.NA2025
A Relaxed Randomized Averaging Block Extended Bregman-Kaczmarz Method for Combined Optimization Problems
Zeyu Dong, Aqin Xiao, Guojian Yin +1
Randomized Kaczmarz-type methods are widely used for their simplicity and efficiency in solving large-scale linear systems and optimization problems. However, their applicability i…