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Long range predictability of high dimensional chaotic dynamics

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Title: Long range predictability of high dimensional chaotic dynamics
Author(s): Meyer, Thomas Patrick
Doctoral Committee Chair(s): Packard, N.
Department / Program: Physics
Discipline: Physics
Degree: Ph.D.
Genre: Dissertation
Subject(s): high dimensional chaotic dynamics long range prediction chaotic systems model chaotic systems
Abstract: This thesis concerns the long range prediction of high dimensional chaotic systems. To this end, I investigate the important relationship between predictability and non-uniformity of information loss throughout the state space of a chaotic system. I introduce a genetic algorithm to build predictive models by exploiting this nonuniformity. The algorithm searches for the regions of state space which remain most predictable for a given time into the future. I use the algorithm to investigate the predictabilty of both model chaotic systems and physical data from a fluid flow experiment.
Issue Date: 1992
Genre: Dissertation / Thesis
Type: Text
Language: English
URI: http://hdl.handle.net/2142/18908
Rights Information: 1992 Thomas Patrick Meyer
Date Available in IDEALS: 2011-05-04
Identifier in Online Catalog: 3488342
 

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