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docs/src/chaos_detection.md

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There are some alternatives, some more efficient and some more accurate in characterizing chaotic and regular motion.
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## Generalized Alignment Index
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"GALI" for sort, is a method that relies on the fact that initially orthogonal deviation vectors tend to align towards the direction of the maximum Lyapunov exponent for chaotic motion.
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"GALI" for short, is a method that relies on the fact that initially orthogonal deviation vectors tend to align towards the direction of the maximum Lyapunov exponent for chaotic motion.
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It is one of the most recent and cheapest methods for distinguishing chaotic and regular behavior, introduced first in 2007 by Skokos, Bountis & Antonopoulos.
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```@docs
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gali

test/runtests.jl

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testfile("chaosdetection/partially_predictable.jl")
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testfile("chaosdetection/01test.jl")
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testfile("chaosdetection/expansionentropy.jl")
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testfile("chaosdetection/EAPD.jl")
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testfile("stability/fixedpoints.jl")
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testfile("periodicity/periodicorbits.jl")

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