Design of easily synchronizable oscillator networks using the Monte Carlo optimization method

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

Volumn 81, Issue 5, 2010, Pages

  Yanagita, Tatsuo ^a   Mikhailov, Alexander S ^b  

^a HOKKAIDO UNIVERSITY   (Japan)

^b FRITZ HABER INSTITUT DER MAX PLANCK GESELLSCHAFT   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

FREQUENCY DISTRIBUTIONS; MONTE CARLO OPTIMIZATION; RANDOM NETWORK; STATISTICAL PROPERTIES; SYNCHRONIZABLE OSCILLATORS;

OPTIMIZATION;

OSCILLATORS (ELECTRONIC);

EID: 77952332986     PISSN: 15393755     EISSN: 15502376     Source Type: Journal    
DOI: 10.1103/PhysRevE.81.056204     Document Type: Article

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40. We have also performed simulations with randomly selected natural frequencies, which were drawn from a distribution g (ω). The qualitative behavior was similar to that of the present model.
41. Since diagonal elements of the adjacent matrix are chosen to be zero, the ratio is not equal to 1 at p = 1, i.e., for all-to-all connections.