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Dear Patrick,
Thanks for this library, it's pretty neat!
I'm currently supervising a bachelor's students thesis on NeuralODEs, and we've been meaning to use `diffrax` to study delay differentia…
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As briefly discussed in #53 , we need to create DDE systems from basis objects to deploy HAVOK ( and HankelDMD I guess ) as useable systems.
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StochasticDiffEq.jl has a very similar structure to OrdinaryDiffEq.jl. With some tweaks it should be possible to make DelayDiffEq.jl handle both of them, in which case we'll have the first stochastic …
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Hi Zulko,
firstly, thank you for writing ddeint!. I am trying to solve an initial value problem for the case that x''(t) is known and depends on x(t-dt). In scipy without the delay I do this as fol…
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```py
def f(u, h, p, t):
du1 = 1.1/(1 + 3.16227*(h(p, t-20)[0])**(1.25)) - 10*u[0]/(1 + 40*u[1])
du2 = 100*u[0]/(1 + 40*u[1]) - 2.43*u[1]
return[du1,du2]
u0 = [1.05767027/3, 1.030713491/3…
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Hello! Your code is very clear, but I have a problem when using your project to calculate the Lyapunov dimension of Mackey-glass system, because the state of Mackey-glass system depends on the state b…
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There aren't many implementations of integro-differential equations which are useful for many things e.g. distributed delays, non-exponential distributions of passage times, time-since-infection epide…
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Hi,
I have a small enquiry regarding the delayed differential equations in monolix as it seems plots are not reproducible using the dde23 function in Matlab .
I have estimated model parameter…
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I'd like to brighten the possibility of integrating stochastic delay ODEs, if possible.
Can the approach used in, https://github.com/Zulko/ddeint/blob/master/ddeint/ddeint.py, be adapted for sdeint? …