A parallel way for computing eigenvector sensitivity of asymmetric damped systems with distinct and repeated eigenvalues

2012 ◽  
Vol 30 ◽  
pp. 61-77 ◽  
Author(s):  
Li Li ◽  
Yujin Hu ◽  
Xuelin Wang
2004 ◽  
Vol 82 (1) ◽  
pp. 63-69 ◽  
Author(s):  
Kang-Min Choi ◽  
Sang-Won Cho ◽  
Man-Gi Ko ◽  
In-Won Lee

2013 ◽  
Vol 72 ◽  
pp. 21-34 ◽  
Author(s):  
Li Li ◽  
Yujin Hu ◽  
Xuelin Wang ◽  
Ling Ling

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Pingxin Wang ◽  
Jieer Wu ◽  
Xibei Yang

The calculation of eigenpair derivatives plays an important role in vibroengineering. This paper presents an improved algorithm for the eigenvector derivative of the damped systems by dividing it into a particular solution and general solution of the corresponding homogeneous equation. Compared with the existing methods, the proposed algorithm can significantly reduce the condition number of the equation for particular solution. Therefore, the relative errors of the calculated solutions are notably cut down. The results on two numerical examples show that such strategy is effective in reducing the condition numbers for both distinct and repeated eigenvalues.


AIAA Journal ◽  
1999 ◽  
Vol 37 ◽  
pp. 1285-1291
Author(s):  
Jeffrey A. Morgan ◽  
Christophe Pierre ◽  
Gregory M. Hulbert

AIAA Journal ◽  
1999 ◽  
Vol 37 ◽  
pp. 933-938
Author(s):  
H. W. Song ◽  
L. F. Chen ◽  
W. L. Wang

2021 ◽  
pp. 1-16
Author(s):  
Alexander Dabrowski

A variational characterization for the shift of eigenvalues caused by a general type of perturbation is derived for second order self-adjoint elliptic differential operators. This result allows the direct extension of asymptotic formulae from simple eigenvalues to repeated ones. Some examples of particular interest are presented theoretically and numerically for the Laplacian operator for the following domain perturbations: excision of a small hole, local change of conductivity, small boundary deformation.


AIAA Journal ◽  
1992 ◽  
Vol 30 (3) ◽  
pp. 850-852 ◽  
Author(s):  
Jinsiang Shaw ◽  
Suhada Jayasuriya

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