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University of Nevada, Las Vegas
A genetic algorithm applied to the fractal inverse problem
Abstract
dc:description.abstractThe theory of iterated function systems (IFS) allows one to construct a fractal which depends on a finite number of parameters. The associated inverse problem, finding a set of parameters which reconstructs a given fractal, is much more difficult. This paper explores the possibility of solving the inverse program with the genetic algorithm.
Degree
thesis:*- Name thesis:degree_name
- Master of Science (MS)
- Level thesis:degree_level
- Thesis
- Discipline thesis:degree_discipline
- Mathematical Sciences
- Grantor dc:publisher
- University of Nevada, Las Vegas
- Year
- 1993
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Miyamoto, Hiroo
Rights
dc:rights- Statement dc:rights
-
- IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/
- Language dc:language
- English
Identifiers
dc:identifier.*- Identifier
- https://oasis.library.unlv.edu/rtds/329
- OAI identifier oai:identifier
- oai:oasis.library.unlv.edu:rtds-1328