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Hello,
first of all I am not sure whether I am posting this to the right place..
I wanted to try use DiffEqFlux.jl to train a ODE system similar to 1st example
but with an outside effect (somethi…
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Hi,
I don't know if this has been discussed before:
I noticed that the new` solve_ivp()` doesn't take `args` for the user-provided `fun`. The old `odeint()` did. What is the recommended way of passi…
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Error in new_CppObject_xp(fields$.module, fields$.pointer, ...) :
Exception: variable does not exist; processing stage=data initialization; variable name=N; base type=int (in 'model6d34530f74d5_l…
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Found by DiffEqFlux tests:
```julia
using Flux, DiffEqFlux, DelayDiffEq, Test
## Setup DDE to optimize
function delay_lotka_volterra(du,u,h,p,t)
x, y = u
α, β, δ, γ = p
du[1] = dx = (…
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running Alfonso 75cba5f with default options against the following Alfonso.m Matlab code with (the same) default options:
```
seed = 2017;
tol = 1e-06;
results = random_lp(500, 1000, tol, seed);
…
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```julia
using DifferentialEquations
function lotka_volterra(du,u,p,t)
x, y = u
α, β, δ, γ = p
du[1] = dx = α*x - β*x*y
du[2] = dy = -δ*y + γ*x*y
end
u0 = [1.0,1.0]
tspan = (0.0,10.0)…
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Many thanks for sharing your code. Following your code on custom gradients, I've implemented my version using TensorFlow 1.14 odeint in non-Eager mode. I departed from your batch-aware code which sets…
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Hi, thanks for the great package!
I found a problem when combining `diffeq_rd` and the `Rosenbrock23` solver.
If I run the Lotka-Volterra basic example provided named "Train an ODE to satisfy an o…
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I used this model to get some parameters from an eco-system model. In `CallOutFunc`, it calls the eco-system model and returns results.
```
@as_op(itypes=[tt.dvector], otypes=[tt.dvector, tt.dvect…
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Hi, I just discovered your great package (thanks for that) and tried to replicate a comparably simple function call using DifferentialEquations.jl that was successful with the XRJulia package. JuliaCa…