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In Gridap 0.18, Tutorial 17 (transient equations) is broken in multiple ways:
Most importantly,
```julia
u₀ = interpolate_everywhere(0.0,U(0.0))
t₀ = 0.0
T = 10.0
uₕₜ = solve(ode_solver,op,u₀,…
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Imported from SourceForge on 2024-07-08 20:13:45
Created by **[sslavi](https://sourceforge.net/u/sslavi/)** on 2015-10-20 17:13:38
Original: https://sourceforge.net/p/maxima/bugs/3036
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Maxima see…
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We need to capture the knowledge of ODES, like in the SWHS and No-PCM examples. Once Drasil knows what an ODE is, the rendering should be fairly straightforward.
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I was trying to write a tutorial on using CUDA and CuSparse for PDEs but found that CuSparse was a bit too incomplete. The setup was fine:
```julia
using OrdinaryDiffEq, LinearAlgebra, SparseArray…
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I'm currently implementing a model where some species evolve according to ODEs and some according to the SSA. This causes some reactions to have variable rates (due to the ODEs), even if their rate on…
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Hi,
I try to compile `scikit.odes` from the latest `master` branch (on 2024-07-12) by going to the `packages/scikit_odes_sundials` subdirectory and executing `pip install -e .`.
Unfortunately, i…
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A potential feature to implement: in section 6 of https://lmcs.episciences.org/6628 (the "voter model") there is an example which uses a combinatorial analysis of rewrite rules and produces continuous…
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Most of the examples in Drasil require an ODE solver. In Drasil we don't have information set up about an ODE library for Julia. Thus, enabling `Bundled` inputs in Julia (via structs) isn't actually…
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# Title
NODEA - Neural Ordinary Differential Equations Anonymous
# Description
This sessions is supposed to be an introduction to neural ordinary differentiable equations (Neural ODEs). As on…
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This is required functionality for things like Stock Flow diagrams and Petri Nets with Rates to be used. It is the common language those user-friendly presentations get compiled down to. One plan for …