Info-quantifiers' map-characterization revisited
We highlight the potentiality of a special Information Theory (IT) approach in order to unravel the intricacies of nonlinear dynamics, the methodology being illustrated with reference to the logistic map. A rather surprising dynamic feature → plane-topography map becomes available. © 2010 Elsevier B...
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2010
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Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03784371_v389_n21_p4604_Rosso http://hdl.handle.net/20.500.12110/paper_03784371_v389_n21_p4604_Rosso |
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paper:paper_03784371_v389_n21_p4604_Rosso2023-06-08T15:40:12Z Info-quantifiers' map-characterization revisited Fisher Information Measure Information Theory Logistic map Nonlinear dynamical systems Probability distribution functions Shannon Entropy Time series Dynamic features Fisher information measures Logistic map Logistic maps Non-linear dynamics Shannon entropy Dynamical systems Entropy Fisher information matrix Information theory Nonlinear dynamical systems Sailing vessels Time series Distribution functions We highlight the potentiality of a special Information Theory (IT) approach in order to unravel the intricacies of nonlinear dynamics, the methodology being illustrated with reference to the logistic map. A rather surprising dynamic feature → plane-topography map becomes available. © 2010 Elsevier B.V. All rights reserved. 2010 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03784371_v389_n21_p4604_Rosso http://hdl.handle.net/20.500.12110/paper_03784371_v389_n21_p4604_Rosso |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
Fisher Information Measure Information Theory Logistic map Nonlinear dynamical systems Probability distribution functions Shannon Entropy Time series Dynamic features Fisher information measures Logistic map Logistic maps Non-linear dynamics Shannon entropy Dynamical systems Entropy Fisher information matrix Information theory Nonlinear dynamical systems Sailing vessels Time series Distribution functions |
spellingShingle |
Fisher Information Measure Information Theory Logistic map Nonlinear dynamical systems Probability distribution functions Shannon Entropy Time series Dynamic features Fisher information measures Logistic map Logistic maps Non-linear dynamics Shannon entropy Dynamical systems Entropy Fisher information matrix Information theory Nonlinear dynamical systems Sailing vessels Time series Distribution functions Info-quantifiers' map-characterization revisited |
topic_facet |
Fisher Information Measure Information Theory Logistic map Nonlinear dynamical systems Probability distribution functions Shannon Entropy Time series Dynamic features Fisher information measures Logistic map Logistic maps Non-linear dynamics Shannon entropy Dynamical systems Entropy Fisher information matrix Information theory Nonlinear dynamical systems Sailing vessels Time series Distribution functions |
description |
We highlight the potentiality of a special Information Theory (IT) approach in order to unravel the intricacies of nonlinear dynamics, the methodology being illustrated with reference to the logistic map. A rather surprising dynamic feature → plane-topography map becomes available. © 2010 Elsevier B.V. All rights reserved. |
title |
Info-quantifiers' map-characterization revisited |
title_short |
Info-quantifiers' map-characterization revisited |
title_full |
Info-quantifiers' map-characterization revisited |
title_fullStr |
Info-quantifiers' map-characterization revisited |
title_full_unstemmed |
Info-quantifiers' map-characterization revisited |
title_sort |
info-quantifiers' map-characterization revisited |
publishDate |
2010 |
url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03784371_v389_n21_p4604_Rosso http://hdl.handle.net/20.500.12110/paper_03784371_v389_n21_p4604_Rosso |
_version_ |
1768543850864836608 |