PureData CEAMMC web documentation

PureData CEAMMC library web documentation

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noise.lyapunov

lyapunov random attractor

available since version: 0.5


information

inspired by Paul Bourke, implementation by André Sier — lyapunov random attractors — Paul Bourke's words http://astronomy.swin.edu.au/%7Epbourke/fractals/lyapunov/ — On average 98% of the random selections of (an, bn) result in an infinite series. This is so common because of the range (-2<=a, b<=2) for each of the parameters a and b, the number of infinite cases will reduce greatly with a smaller range. About 1% were point attractors, and about 0.5% were periodic basins of attraction. === x[n+1] = a[0] + a[1]x[n] + a[2]x[n]^2 + a[3]x[n]y[n] + a[4]y[n] + a[5]y[n]^2 y[n+1] = b[0] + b[1]x[n] + b[2]x[n]^2 + b[3]x[n]y[n] + b[4]y[n] + b[5]y[n]^2 ===

example

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noise

Authors: André Sier

License: %