Comments (8)
I've understood the paper and is now learning the codebase. Should start coding soon.
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I got the bounty.
(Bountysource took 10% off, though. Consider not using that as a middleman?)
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It can go both places, but since it sounds like it's an entropy, so it probably goes to "Entropies and dimensions", since people would look up something about entropy at a place where entropies are listed.
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Maybe put a reference to it in Chaos Detection as well?
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Cool+awesome! My recommendation in these scenarios is to always open a WIP PR so that we can comment directly on code.
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Now it's closed.
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Sure, if you know alternatives that both take care of the legal side from my end, as well as ensure that the developer is guaranteed to get their money, let me know.
@yuxiliu1995 I am really conflicted on where I should put this in the docs. There are two places:
By "name", it feels like it fits more in 2. But even though the method computes some kind of entropy, this quantity is mostly used for detecting chaos... What do you think?
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Good ideas thanks. Once we have JuliaDynamics/DrWatson.jl#127 done I'll do this (at the moment it is not possible to build the docs of DynamicalSystems.jl because of a python incompatibility. really looking forward to dropping python all together, and once Makie is matured, also drop PyPlot).
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Related Issues (20)
- Improve the tests, like, a lot.
- Basins labels for supervised clustering method
- The unsupervised method for `AttractorsViaFeaturizing` is slow
- Standing TODOs for `RecurrencesSeededContinuation`
- Allow for hyper-rectanges in new code for return times in continuous time systems
- Allow arbitrary initial condition in `exit_entry_times`
- local_growth_rates does not work with non-adaptive solver HOT 1
- Lyapunov exponent of stroboscopic map perhaps incorrect? HOT 3
- lyapunovspectrum for k less than dimension
- typos HOT 4
- `k` parameter in `lyapunovspectrum` HOT 1
- Covariant Lyapunov Vectors from data using SVD
- Wrong lyapunov exponent of unstable systems when the solver works adaptively HOT 3
- Ordinal Poincaré sections: Reconstructing the first return map from an ordinal segmentation of time series
- saving the trajectory from Lyapunov spectrum calculation HOT 4
- Collection of the Lyapunov exponents over time HOT 1
- Dynamical system "iterator" for returning back to a set in state space
- callbacks on ds HOT 6
- Fix errors in documentation, use DocumenterCitations.jl.
- 'DeterministicIteratedMap' not defined HOT 1
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