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Which one is the fastest and most accurate?
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@lukem12345, @GeorgeR227, when Chris R. got the autodiff working for implicit solvers, we tested some of our stiffer problems with those solvers. But when I checked the tests and examples just now. I …
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Hi there :)
I want to solve many ODEs which involve a small parameterised convex QP problem as a part of evaluating the right hand side. The QP is of the standard form:
`min_x x' Q x + p' x`
…
mbjd updated
9 months ago
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## Environment
* OS Version: Ubuntu 22.04,
* Source or binary build?
binary: ignition gazebo (Fortess) 6.11.0, gazebo 11.10.2.
## Description
in the sdf, there are two boxes. I changed the c…
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Now that direct adjoints are starting to work with Enzyme over OrdinaryDiffEq.jl, it would make sense to add this to the SciMLSensitivity.jl system.
```julia
using Enzyme, OrdinaryDiffEq, StaticA…
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Hello! I'm having issues running the dopri5 method on a time sequence, very closely to what is in the latent example.
I am trying to run odeint using odeint_adjoint with a z0 batch of shape (batchsiz…
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For the direct usage of `Fun`, stiff methods can't be used because the Jacobians cannot be calculated.
```julia
@time sol=solve(prob,Rosenbrock23(),dt=1/40, adaptive=false, tstops=tstops)
Met…
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When I use `CVODE_BDF` to solve a coupled stiff ODE (a PDE discretized using method of lines) with around ~1000 variables, is it necessary to provide the exact Jacobian or is it sufficient to just pro…
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I'm not sure this branch is doing anything:
https://github.com/SciML/OrdinaryDiffEq.jl/blob/dc0e1e733fdd79a6c643cbd0c4f4be03c934cb91/lib/OrdinaryDiffEqExtrapolation/src/algorithms.jl#L50-L57
The lpa…
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Just a place to dump excess, redundant learning objectives in case we need them.
- model a physical vibrating system and understand it's essential motion characteristics
- numerically integrate no…