activity
20152023
most citedRandomized extended block Kaczmarz for solving least squares

5 citations · 19 across the 14 of their papers we have counts for

collaborators

14 papers

math.NA2023

On Krylov subspace methods for skew-symmetric and shifted skew-symmetric linear systems

Kui Du, Jia-Jun Fan, Xiao-Hui Sun +2

Krylov subspace methods for solving linear systems of equations involving skew-symmetric matrices have gained recent attention. Numerical equivalences among Krylov subspace methods…

math.NA2022

Regularized randomized iterative algorithms for factorized linear systems

Kui Du

Randomized iterative algorithms for solving a factorized linear system, with , $\mathbf B\in{\mathb…

math.NA2021★ 2 cited

Randomized regularized extended Kaczmarz algorithms for tensor recovery

Kui Du, Xiao-Hui Sun

Randomized regularized Kaczmarz algorithms have recently been proposed to solve tensor recovery models with {\it consistent} linear measurements. In this work, we propose a novel a…

math.NA2020★ 1 cited

Pseudoinverse-free randomized block iterative algorithms for consistent and inconsistent linear systems

Kui Du, Xiao-Hui Sun

Randomized iterative algorithms have attracted much attention in recent years because they can approximately solve large-scale linear systems of equations without accessing the ent…

math.NA2020★ 1 cited

Randomized double and triple Kaczmarz for solving extended normal equations

Kui Du, Xiao-Hui Sun

The randomized Kaczmarz algorithm has received considerable attention recently because of its simplicity, speed, and the ability to approximately solve large-scale linear systems o…

math.NA2020

Stochastic gradient descent for linear least squares problems with partially observed data

Kui Du, Xiao-Hui Sun

We propose a novel stochastic gradient descent method for solving linear least squares problems with partially observed data. Our method uses submatrices indexed by a randomly sele…