Cart (Loading....) | Create Account
Close category search window
 

Performance prediction for adaptive quad tree graphical data structures

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

2 Author(s)
Weyten, L. ; Electron. Lab., Ghent Univ., Belgium ; De Pauw, W.

Performance prediction of multiple-storage quad trees is treated. Using random graphical data models, expected values of essential parameters such as the number of internal nodes, the number of object references, and the number of lists are estimated. From these results, more practical characteristics such as memory usage and the speed of windowing operations are obtained. The accuracy of the approximations is evaluated on experimental data

Published in:

Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on  (Volume:8 ,  Issue: 11 )

Date of Publication:

Nov 1989

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.