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_From @Datseris on July 19, 2017 12:7_
~~This is extremely simple:~~
The only changes necessary are:
1. in the methods add an optional argument (NOT a keyword) e.g. `k::Int = dimension(ds)`
2.…
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Instead of separately iterating integ1 and integ2, they should be iterated together. Otherwise, the accumulate different noise along with their trajectories in every single step during the integration…
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```
benchmarkpkg("ChaosTools")
INFO: Running benchmarks...
ERROR: LoadError:
ArgumentError: tuple must be non-empty
Stacktrace:
[1] include_from_node1(::String) at .\loading.jl:576
[2] i…
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Reading how `lyapunovs` is implemented, I see that there is no easy way to interfere with the calculation once you call the function. However, in research, you may want/need to do stuff other than th…
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I am talking about a function that would partition the phase space, and for each box of the phase space would give a value for a lyapunov exponent.
The naive way to do this is to run the already ex…
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We need to be able to handle non-dense Jacobians. I plan on doing this by allowing Jacobian types to be chosen in the `ODEProblem` etc. types as a `jac_prototype` which allows the user to pass a funct…
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There has been a long going discussion on how to restructure the toolbox to allow for better extendability and performance. The discussion has so far mainly been between @mfalt @baggepinnen @aytekinar…
mfalt updated
6 years ago
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For both the `lyapunovs` and `lyapunov`.
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This is extremely simple:
The only changes necessary are:
1. in the methods add an optional argument (NOT a keyword) e.g. `k::Int = dimension(ds)`
2. initialize the matrices `Q` and `K` in the `l…
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I'm getting an import error for `from nengolib.synapses import ss2sim` on Mac OS with Scipy 1.0.0 (and Python 3.6.3):
```console
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