Abstract:
This paper presents a parallel refined Jacobi-Davidson method for computing extreme eigenpairs of quadratic eigenvalue problems. The method directly computes the refined ...Show MoreMetadata
Abstract:
This paper presents a parallel refined Jacobi-Davidson method for computing extreme eigenpairs of quadratic eigenvalue problems. The method directly computes the refined Ritz pairs in the projection subspace, and expands the subspace by the solution of the correction equation. Combining with the restarting scheme, the method can solve several eigenpairs of quadratic eigenvalue problems. The numerical experiments on a parallel computer show that the parallel refined Jacobi-Davidson method for computing quadratic eigenvalue problems is very effective.
Published in: 2010 3rd International Symposium on Parallel Architectures, Algorithms and Programming
Date of Conference: 18-20 December 2010
Date Added to IEEE Xplore: 17 February 2011
Print ISBN:978-1-4244-9482-8