Abstract
In this paper a preconditioned iterative method suitable for the solution of the generalised eigenvalue problem is presented. The proposed method in which no change in the structure of the original matrices occurs is suitable for the determination of the extreme eigenvalues and their corresponding eigenvectors of large sparse matrices derived from finite element/difference discretisation of partial differential equations. The new method when coupled with the conjugate gradient algorithm yields a powerful algorithm for this class of problems.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
