2 papers
math.OC2025
Clustering-based Low Rank Approximation Method
Yujun Zhu, Jie Zhu, Hizba Arshad +2
We propose a clustering-based generalized low rank approximation method, which takes advantage of appealing features from both the generalized low rank approximation of matrices (G…
math.NA2023
Low rank approximation method for perturbed linear systems with applications to elliptic type stochastic PDEs
Yujun Zhu, Ju Ming, Jie Zhu +1
In this paper, we propose a low rank approximation method for efficiently solving stochastic partial differential equations. Specifically, our method utilizes a novel low rank appr…