Mathematics – Numerical Analysis
Scientific paper
2012-03-21
Mathematics
Numerical Analysis
16 Figures
Scientific paper
We present the results of an empirical study of the performance of the QR and Toda eigenvalue algorithms on random symmetric matrices. The random matrices are chosen from six ensembles, four of which lie in the Wigner class. We observe a form of universality for the deflation time statistics for random matrices within the Wigner class: for these ensembles, the empirical distribution of a normalized deflation time is found to collapse onto a curve that depends only on the algorithm, but not on the matrix size or deflation tolerance provided the matrix size is large enough (see Figure 3 and Figure 6). We also provide a quantitative statistical picture of the accelerated convergence of the shifted QR algorithm.
Deift Percy
Menon Govind
Pfrang Christian W.
No associations
LandOfFree
How long does it take to compute the eigenvalues of a random symmetric matrix? does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with How long does it take to compute the eigenvalues of a random symmetric matrix?, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and How long does it take to compute the eigenvalues of a random symmetric matrix? will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-487854