Manifold learning approach for chaos in the dripping faucet

Physical Review E - Statistical, Nonlinear, and Soft Matter Physics

Volumn 86, Issue 3, 2012, Pages

  Suetani, Hiromichi ^a,b,c   Soejima, Karin ^a   Matsuoka, Rei ^d   Parlitz, Ulrich ^e,f   Hata, Hiroki ^a  

^a KAGOSHIMA UNIVERSITY   (Japan)

^b JAPAN SCIENCE AND TECHNOLOGY AGENCY   (Japan)

^c RIKEN   (Japan)

^d NAGOYA UNIVERSITY   (Japan)

^e MAX PLANCK INSTITUTE FOR DYNAMICS AND SELF ORGANIZATION   (Germany)

^f UNIVERSITY OF GÖTTINGEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DRIPPING FAUCET; DRIPPING WATER; INTERNAL STATE; LYAPUNOV EXPONENT; MANIFOLD LEARNING; MASS-SPRING MODELS; NON-LINEAR PHENOMENA; TIME CORRELATION FUNCTIONS; TIME STAMPS; TOPOLOGICAL ENTROPY; UNDERLYING DYNAMICS; WATER DROP;

DROPS; DYNAMICS; EXPERIMENTS; SEPARATION; TIME SERIES;

LYAPUNOV METHODS;

EID: 84866950574     PISSN: 15393755     EISSN: 15502376     Source Type: Journal    
DOI: 10.1103/PhysRevE.86.036209     Document Type: Article

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