Improved calculation of eigenvector sensitivities using matrix perturbation analysis

被引:4
|
作者
Lin, RM
Lim, MK
Wang, Z
机构
关键词
D O I
10.1115/1.2828777
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Derivatives of eigenvalues and eigenvectors have become increasingly important in the development of modem numerical methods for areas such as structural design optimization, dynamic system identification and dynamic control, and the development of effective and efficient methods Sor the calculation of such derivatives has remained to be an active research area for several decades. Based on the concept of matrix perturbation, this paper presents a new method for the improved calculation of eigenvector derivatives in the case where only few of the lower modes of a system under study have been computed. By using this new proposed method, considerable improvement on the accuracy of the estimation of eigenvector derivatives can be achieved at the expense of very tiny extra computational effort since only few matrix vector operations are required. Convergency criterion of the method has been established and the required accuracy can be controlled by including more higher order terms. Numerical results from practically finite element model have demonstrated the practicality of the proposed method. Further, the proposed method can be easily incorporated into commercial finite element packages to improve the accuracy of eigenderivatives needed for practical applications.
引用
收藏
页码:137 / 141
页数:5
相关论文
共 50 条
  • [31] Two-particle density matrix calculation for an atom in solid using the modified perturbation theory
    Filippov, G.M.
    Poverkhnost Rentgenovskie Sinkhronnye i Nejtronnye Issledovaniya, 2002, (12): : 94 - 101
  • [32] Improved perturbation bounds for general quadratic matrix equations
    Konstantinov, MM
    Petkov, PH
    Gu, DW
    NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION, 1999, 20 (7-8) : 717 - 736
  • [33] Improved perturbation bounds for general quadratic matrix equations
    Univ. of Arch. and Civil Engineering, 1 Hr. Smirnenski Blvd., 1421 Sofia, Bulgaria
    不详
    不详
    Numer Funct Anal Optim, 7 (717-736):
  • [34] Improved analysis of randomized SVD for top-eigenvector approximation
    Tzeng, Ruo-Chun
    Wang, Po-An
    Adriaens, Florian
    Gionis, Aristides
    Lu, Chi-Jen
    INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 151, 2022, 151
  • [35] Using sensitivities for flow analysis
    Godfrey, AG
    COMPUTATIONAL METHODS FOR OPTIMAL DESIGN AND CONTROL, 1998, 24 : 181 - 196
  • [36] Image registration based on matrix perturbation analysis using spectral graph
    冷成财
    田铮
    李婧
    丁明涛
    Chinese Optics Letters, 2009, 7 (11) : 996 - 1000
  • [37] Perturbation analysis of transient population dynamics using matrix projection models
    Stott, Iain
    METHODS IN ECOLOGY AND EVOLUTION, 2016, 7 (06): : 666 - 678
  • [38] Image registration based on matrix perturbation analysis using spectral graph
    Leng, Chengcai
    Tian, Zheng
    Li, Jing
    Ding, Mingtao
    CHINESE OPTICS LETTERS, 2009, 7 (11) : 996 - 1000
  • [39] Damaged structural vibration analysis using the Hamiltonian matrix perturbation theory
    Liu, L.
    Xuan, F. Z.
    MATERIALS AND PRODUCT TECHNOLOGIES, 2008, 44-46 : 91 - 96
  • [40] Sensitivity calculation of the throughput of an FMS with respect to the routing mix using perturbation analysis
    Koltai, T
    Lozano, S
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1998, 105 (03) : 483 - 493