How long does it take to compute the eigenvalues of a random symmetric matrix?

Mathematics – Numerical Analysis

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

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.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

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.

Rate now

     

Profile ID: LFWR-SCP-O-487854

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.