Gallery Name | Total Images | |
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Lyapunov images - original algorithm Images computed by the original algorithm by Mario Markus from 1995. Images are raw fractals with no post processing. Coloring is done by linear interpolation between two border RGB values for several adjacent intervals of Lyapunov values. | 9 | |

Lyapunov images - sectionally defined The originally defined algorithm was used with sectionally defined functions (also introduced by Mario Markus). The algorithm was modified to allow for different sections to be defined for the initial, non-computing iterations and the following computing ones. | 12 | |

Lyapunov images - detached The original algorithm uses the derivative of the trajectory function f to compute the Lyapunov exponent. The modified algorithm allows to use a second function g, which can be unrealted to f. | 15 | |

Lyapunov 3D carved Computing a three-dimensional Lyapunov space cube with coordinates A, B and C. A smaller object (e.g. a sphere) is inserted into that cube and everything that lies outside of the smaller one is carved off of the cube. The remaining structure is visualized using a moving plane. | 19 | |

Julia/Mandelbrot sets w or w/o Lyapunov variations Using Lyapunov style sequences like e.g. AB, one can use two (or more) c-values to calculate Julia sets with the original formula, using c _{1} or c_{2} depending on the sequence position that changes in each iteration, thereb creating a Julia/Lyapunov crossover. Or one could use the orbit to determine which value will be used. | 16 | |

Triplex numbers 3D images using trivariate equations to calculate objects under Lyapunov variations. | 6 |

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