We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

A wavelet-based approach for compressing kernel data in large-scale simulations of 3D integral problems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Amaratunga, Kevin ; Dept. of Civil & Environ. Eng., MIT, Cambridge, MA, USA

Second-generation surface wavelets can be an effective tool for compressing integral operator matrices arising from large-scale simulations of 3D problems. The author's approach generalizes previously reported results on wavelet-based operator compression to nonuniform grids and fairly general domains

Published in:

Computing in Science & Engineering  (Volume:2 ,  Issue: 4 )