Anping Liao
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Anping Liao has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Jiaxin Xie
School of Mathematical Sciences, Beihang University, Beijing, China
2 shared publications - Baiyu Wang
Changsha University
1 shared publication - Kang Zhao
Changsha Univ Sci & Technol, Sch Math & Stat, Changsha 410114, Peoples R China
1 shared publication - Liang Chen
School of Mathematics, Hunan University, Changsha, China
1 shared publication - Wei Liu
College of Mathematics and Econometrics Hunan University Changsha China
1 shared publication Xiaobo Yang
Hunan Univ, Coll Math & Econometr, Changsha 410082, Hunan, Peoples R China
1 shared publication
Latest Publications
- 1 September 2020
- Published by Elsevier in Applied Mathematics Letters
- Vol. 107
Updating the undamped piezoelectric smart structure system with no-spillover
- 1 September 2020
- Published by Elsevier in Applied Mathematics Letters
- Vol. 107
Updating the undamped piezoelectric smart structure system with no-spillover
- 1 January 2018
- Published by Elsevier in Applied Mathematics and Computation
- Vol. 316, 18-24
A remark on joint sparse recovery with OMP algorithm under restricted isometry property
- 1 January 2018
- Published by Elsevier in Applied Mathematics and Computation
- Vol. 316, 18-24
A remark on joint sparse recovery with OMP algorithm under restricted isometry property
- Open Access
- 1 January 2017
- Published by National Library of Serbia in Filomat
- Vol. 31 (13) , 4023-4031
The generalized orthogonal solutions of the matrix inverse problem AX = B and optimal approximation
In this paper, the generalized orthogonal solutions of the matrix inverse problem AX = B and associated optimal approximation problem are considered. The properties and structure of generalized orthogonal matrices are given, the relationship between the generalized orthogonal matrices and the orthogonal matrices are discussed. Necessary and sufficient conditions for the solvability of the matrix inverse problem AX = B, the general expression of solutions, and its procrustes problem are discussed. In addition, the corresponding optimal approximation solutions are presented. Finally, the algorithms and corresponding computational examples are given.
- 1 January 2017
- Published by National Library of Serbia in Filomat
- Vol. 31 (13) , 4023-4031
Open AccessThe generalized orthogonal solutions of the matrix inverse problem AX = B and optimal approximation
In this paper, the generalized orthogonal solutions of the matrix inverse problem AX = B and associated optimal approximation problem are considered. The properties and structure of generalized orthogonal matrices are given, the relationship between the generalized orthogonal matrices and the orthogonal matrices are discussed. Necessary and sufficient conditions for the solvability of the matrix inverse problem AX = B, the general expression of solutions, and its procrustes problem are discussed. In addition, the corresponding optimal approximation solutions are presented. Finally, the algorithms and corresponding computational examples are given.
- 10 March 2016
- Published by Springer Nature in Optimization Letters
- Vol. 11 (3) , 583-596
An inexact alternating direction method of multipliers with relative error criteria
- 10 March 2016
- Published by Springer Nature in Optimization Letters
- Vol. 11 (3) , 583-596
An inexact alternating direction method of multipliers with relative error criteria
- 18 November 2015
- Published by Springer Nature in Journal of Optimization Theory and Applications
- Vol. 187 (1) , 248-265
On the Convergence Properties of a Second-Order Augmented Lagrangian Method for Nonlinear Programming Problems with Inequality Constraints
- 18 November 2015
- Published by Springer Nature in Journal of Optimization Theory and Applications
- Vol. 187 (1) , 248-265
On the Convergence Properties of a Second-Order Augmented Lagrangian Method for Nonlinear Programming Problems with Inequality Constraints