#### Filter Results:

- Full text PDF available (16)

#### Publication Year

2008

2016

- This year (0)
- Last 5 years (16)
- Last 10 years (32)

#### Publication Type

#### Co-author

#### Journals and Conferences

#### Key Phrases

Learn More

- Yongxin Yuan, Hua Dai
- Computers & Mathematics with Applications
- 2008

Generalized reflexive solutions of the matrix equation AXB = D and an associated optimal approximation problem a b s t r a c t

- Hao Liu, Yongxin Yuan
- Computers & Mathematics with Applications
- 2009

- Yongxin Yuan, Hao Liu
- J. Computational Applied Mathematics
- 2014

- Yongxin Yuan, Kezheng Zuo
- Applied Mathematics and Computation
- 2015

- Yongxin Yuan, Hua Dai
- J. Computational Applied Mathematics
- 2009

In this paper we develop an efficient numerical method for the finite-element model updating of damped gyroscopic systems based on incomplete complex modal measured data. It is assumed that the analytical mass and stiffness matrices are correct and only the damping and gyroscopic matrices need to be updated. By solving a constrained optimization problem,… (More)

- Yongxin Yuan
- Applied Mathematics and Computation
- 2009

- Yongxin Yuan, Hua Dai
- J. Computational Applied Mathematics
- 2011

- Yongxin Yuan
- Applied Mathematics and Computation
- 2010

- Yongxin Yuan
- 2012

In this paper, we first give the representation of the general solution of the following inverse eigenvalue problem (IEP): Given X ∈ Rn×p and a diagonal matrix Λ ∈ Rp×p, find nontrivial real-valued symmetric arrow-head matrices A and B such that AXΛ = BX. We then consider an optimal approximation problem: Given real-valued symmetric arrow-head matrices Ã,… (More)

In this paper the gradient based iterative algorithm is presented to solve the linear matrix equation AXB +CXD = E, where X is unknown matrix, A,B,C,D,E are the given constant matrices. It is proved that if the equation has a solution, then the unique minimum norm solution can be obtained by choosing a special kind of initial matrices. Two numerical… (More)