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Hi,
I need to integrate of a dynamical system, thousands of times while sampling parameter values from a probability distribution.
I notice that in the examples, you first define the parameters…
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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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For both the `lyapunovs` and `lyapunov`.
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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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The methods that calculate lyapunovs of continuous systems are extremely slow.
So far I am not sure whether this is due to `DifferentialEquations`, the qr-decomposition or that I Have simply written …
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EDIT: THIS IS THE NEW AND CURRENT PLAN, IN PROGRESS BY ME IN A BRANCH.
Example at the end!
- [x] Rename `ContinuousDS` to `ContinuousDynamicalSystem` with alias `CDS`.
- [x] `CDS` will have 2 f…
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Reading how [`ContinuousDS(prob::ODEProblem)` w/o Jacobian](https://github.com/JuliaDynamics/DynamicalSystemsBase.jl/blob/6a2698981f621b28ba4be0fe4aa4fa08e669ceb5/src/continuous.jl#L110):
```julia
#…
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I have made major changes in the way this package work. I don't remember how fast it was before, but it certainly is fast now. And very precise as well, with the user being able to control the precisi…
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Hi,
I am working on a system of delay differential equations where the vector field is quite nonlinear. My main interest is calculating the largest Lyapunov Exponent as function of vector field param…
ghost updated
7 years ago
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There are two ways to create an e.g. `ContinuousDS`. One is to use closures, like it is done for almost all systems:
```julia
function roessler(u0=rand(3); a = 0.2, b = 0.2, c = 5.7)
@inline …