Herman Sletmoen
Herman Sletmoen
Adding this dispatch makes [ModelingToolkit#2997](https://github.com/SciML/ModelingToolkit.jl/issues/2997) work on my machine. I don't think it addresses the *root cause* of that issue, but at least it circumvents whatever triggers the bug. Anyway,...
I am trying to improve system printing, interactive model inspection and discoverability in the REPL. My idea has been to `show()` a little more information about systems in the REPL:...
Suppose I solve an ODE with a parameter `p` that I set to `NaN`, but where `p` does not "destroy" any _unknowns_ in the system: ```julia using ModelingToolkit using ModelingToolkit:...
Because [systems of equations with and without connectors are displayed in different Latex environments](https://github.com/JuliaSymbolics/Symbolics.jl/commit/066408d7682883d6da7ec16a8a82aa0f6d016256), they are displayed without and with alignment, respectively. This makes the [ModelingToolkit big RC circuit tutorial...
Is something like this suited for Symbolics.jl?
It is annoying that ```julia @variables x substitute(1//2 * cos(x), x => 0) ``` gives `0.5` and not `1//2`. The reason is natural: `cos(0)` evaluates to `1.0` (not `1`), giving...
Hi! Just an observation which I hope is helpful: I am considering adding something to the package, but `dev`-ing it is (almost unbearably) slow: ```julia ] dev PairPlots # very...
An attempt at fixing https://github.com/SciML/OrdinaryDiffEq.jl/issues/2562 and making sure the [documented in-place interpolation API](https://docs.sciml.ai/DiffEqDocs/stable/basics/solution/#Interpolations-and-Calculating-Derivatives) actually works consistently with MTK, too. ## Checklist - [x] Appropriate tests were added - [x] Any...
This is one possible fix to https://github.com/SciML/ModelingToolkit.jl/issues/3737. It generalizes a line that assumed DDE variables are like $x(t-\tau)$ to permit multivariate $x(t-\tau, a_2, a_3, \ldots)$. Indexing ODEs with multivariate variables...
I want to define ODE variables like $x(t, k)$ and $y(t, k)$, where $k$ is a parameter and all derivatives will be wrt. $t$. This greatly helps my application over...