Estimating the spatial extent of attractors of iterated function systems

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July 27, 2014 | History

Estimating the spatial extent of attractors of iterated function systems

As Barnsley, Demko and others have shown, one effective method for producing fractal shapes (in any number of dimensions) is with Iterated Function Systems (IFSs), using the 'Chaos Game' algorithm (or some deterministic algorithm). This approach has been used for producing naturalistic shapes, finding interpolants to given data and fractal approximations of given functions, and even for visualizing arbitrary discrete sequences. Indeed, any contractive IFS will give an attractor (usually of fractal dimension); thus it is possible to generate IFSs at random to explore the graphical possibilities, as is done in some educational software. Similarly, because the attractor depends continuously on the parameters in the IFS, a small data sets from any source could be encoded as IFSs for visualization.

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Cover of: Estimating the spatial extent of attractors of iterated function systems
Estimating the spatial extent of attractors of iterated function systems
1993, Naval Postgraduate School, Available from National Technical Information Service
in English

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Edition Notes

Cover title.

"NPS-MA-93-017."

"Technical report for period January 1993 - April 1993."

AD A265 856.

Includes bibliographical references (p. 8-9)

aq/ /aq cc:9116 09/23/97

Published in
Monterey, Calif, Springfield, Va
Other Titles
NPS-MA-93-017.

The Physical Object

Pagination
1 v. (various pagings) :

ID Numbers

Open Library
OL25517471M
Internet Archive
estimatingspatia00canr

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