Long Range Predictability of High Dimensional Chaotic Dynamics

Released on by Thomas Patrick Meyer
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  • Long Range Predictability of High Dimensional Chaotic Dynamics Book Detail

  • Author : Thomas Patrick Meyer
  • Release Date : 1992
  • Publisher :
  • Genre :
  • Pages : 202
  • ISBN 13 :
  • File Size : 83,83 MB
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Long Range Predictability of High Dimensional Chaotic Dynamics by Thomas Patrick Meyer PDF Summary

Book Description: 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 predictability of both model chaotic systems and physical data from a fluid flow experiment.

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Predictability of Chaotic Dynamics

Predictability of Chaotic Dynamics

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This book is primarily concerned with the computational aspects of predictability of dynamical systems - in particular those where observations, modeling and co