Premium
Variational acceleration for Subspace Iteration Method. Application to nuclear power reactors
Author(s) -
Vidal V.,
Verdú G.,
Ginestar D.,
MuñozCobo J. L.
Publication year - 1998
Publication title -
international journal for numerical methods in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.421
H-Index - 168
eISSN - 1097-0207
pISSN - 0029-5981
DOI - 10.1002/(sici)1097-0207(19980215)41:3<391::aid-nme289>3.0.co;2-j
Subject(s) - power iteration , eigenvalues and eigenvectors , subspace topology , acceleration , mathematics , inverse iteration , power (physics) , iterative method , matrix (chemical analysis) , mathematical analysis , mathematical optimization , physics , classical mechanics , quantum mechanics , materials science , composite material
The Subspace Iteration Method is a popular approach to obtain the dominant eigenvalues and their corresponding eigenvectors of a given matrix. We have applied this method, making use of two Rayleigh–Ritz projections, to obtain the dominant Lambda Modes of a nuclear power reactor. Also, we have developed a variational acceleration technique for this method, and we have stated that this variational acceleration is very convenient, mainly, when the required number of eigenvalues is low. © 1998 John Wiley & Sons, Ltd.