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Shu-Xin Miao

Orcid: 0000-0002-0905-7770

According to our database1, Shu-Xin Miao authored at least 19 papers between 2009 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

Online presence:

On csauthors.net:

Bibliography

2026
An improved noise-tolerant zeroing neural network model for solving the time-varying Yang-Baxter-like matrix equation.
[BibTeX]
[DOI]
Ting Huang
,
Shu-Xin Miao
Comput. Appl. Math., June, 2026

A predefined-time neurodynamic model for solving absolute value equation.
[BibTeX]
[DOI]
Xin-Mei Lv
,
Shu-Xin Miao
Neural Networks, 2026

Design and analysis of a predefined-time zeroing neural network model for solving the Stein tensor equation.
[BibTeX]
[DOI]
Shu-Xin Miao
,
Tomohiro Sogabe
,
Shao-Liang Zhang
J. Frankl. Inst., 2026

2025
Preconditioned inexact fixed point iteration method for solving tensor absolute value equation.
[BibTeX]
[DOI]
Xin-Mei Lv
,
Shu-Xin Miao
Numer. Algorithms, November, 2025

2024
A modified improved alternating positive semi-definite splitting preconditioner for double saddle point problems.
[BibTeX]
[DOI]
Jun Li
,
Shu-Xin Miao
,
Xiangtuan Xiong
J. Appl. Math. Comput., October, 2024

A new fixed point iterative method for solving tensor absolute value equation.
[BibTeX]
[DOI]
Xin-Mei Lv
,
Shu-Xin Miao
Comput. Appl. Math., October, 2024

A new inexact fixed point iteration method for solving tensor absolute value equation.
[BibTeX]
[DOI]
Xin-Mei Lv
,
Shu-Xin Miao
Appl. Math. Lett., 2024

2022
On the solvability and Picard-type method for absolute value matrix equations.
[BibTeX]
[DOI]
Wen-Ling Tang
,
Shu-Xin Miao
Comput. Appl. Math., March, 2022

2021
A general Uzawa-type method for a class of 2 × 2 block structure linear system.
[BibTeX]
[DOI]
Shu-Xin Miao
,
Jing Zhang
,
Lingsheng Meng
Comput. Math. Appl., 2021

A general fast shift-splitting iteration method for nonsymmetric saddle point problems.
[BibTeX]
[DOI]
Jing Zhang
,
Shu-Xin Miao
Comput. Appl. Math., 2021

2020
A generalized SHSS preconditioner for generalized saddle point problem.
[BibTeX]
[DOI]
Jun Li
,
Shu-Xin Miao
Comput. Appl. Math., 2020

2018
On the semi-convergence of preconditioned GLHSS iteration method for non-Hermitian singular saddle point problem.
[BibTeX]
[DOI]
Shu-Xin Miao
Comput. Math. Appl., 2018

Two new preconditioned GAOR methods for weighted linear least squares problems.
[BibTeX]
[DOI]
Shu-Xin Miao
,
Yu-Hua Luo
,
Guang-Bin Wang
Appl. Math. Comput., 2018

2017
On preconditioned generalized shift-splitting iteration methods for saddle point problems.
[BibTeX]
[DOI]
Yang Cao
,
Shu-Xin Miao
,
Zhi-Ru Ren
Comput. Math. Appl., 2017

A new Uzawa-type method for saddle point problems.
[BibTeX]
[DOI]
Shu-Xin Miao
Appl. Math. Comput., 2017

2016
On semi-convergence of the generalized shift-splitting iteration method for singular nonsymmetric saddle point problems.
[BibTeX]
[DOI]
Yang Cao
,
Shu-Xin Miao
Comput. Math. Appl., 2016

2014
On Comparison Theorems for Splittings of Different Semimonotone Matrices.
[BibTeX]
[DOI]
Shu-Xin Miao
,
Yang Cao
J. Appl. Math., 2014

A note on GPIU method for generalized saddle point problems.
[BibTeX]
[DOI]
Shu-Xin Miao
,
Yang Cao
Appl. Math. Comput., 2014

2009
Two new modified Gauss-Seidel methods for linear system with M-matrices.
[BibTeX]
[DOI]
Bing Zheng
,
Shu-Xin Miao
J. Comput. Appl. Math., 2009


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