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need .desc
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Okay I'm trying to solve this particular set of ODEs and I'm unable to find out where I'm going wrong.
```python3
import sympy as sp
R = sp.Function('R')
F = sp.Function('F')
t = sp.var('…
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Hi Raf,
Quick question:
What do you think is more computationally intensive: using long `SArray `'s (e.g. 1000 elements) or increasing the number of grids in the simulation and keep `SArray`s at 1…
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We now have a couple of simple ODE benchmarks, but could definitely afford to add a lot more.
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Translation of SEIR Example, based on Lotka Volterra 1:
Hiya, ok, here's the first...
- I can't get it to train only for dE, dI, dR the way the old example did, but seems like the way I did it sho…
ghost updated
5 months ago
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This section is broken (again?) https://turinglang.org/v0.31/tutorials/10-bayesian-differential-equations/#inference-of-a-stochastic-differential-equation
The plot in the tutorials shows no samplin…
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@timholy made
https://github.com/timholy/QuadDIRECT.jl
and
https://github.com/timholy/MultilevelCoordinateSearch.jl
We should give these a try in the Lorenz parameter estimation notebook.…
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Hi all,
Many of you have reached out to me or @ChrisRackauckas about doing a GSoC related to NeuralPDE.jl, or PDE discretizers and we're both very happy to have you interested in these tools.
S…
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Hi!
Are there any plans to implement the construction of stochastic models (SDEs, jump systems for continuous systems, Markov models for discrete time systems)?
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To run `ContinuousDataDrivenProblem` on the model below that I want to run as an Implicit system discovery, I get : MethodError: objects of type ODESystem are not callable in forming the DX matrix. Th…