John Tinnerholm

@DilumAluthge I have yet to merge this since this package is still alpha. However, I am currently working on a private branch where I have gotten some of the components...

> Thankfully the code in the tests is very clear. To get it working, I added the missing import, surrounded first arg in quotes, and changed the call to `runModelFM`...

Complete model ```julia using ModelingToolkit using DifferentialEquations const D = Differential(t) function ModelA2Model(tspan = (0.0, 1.0)) ModelingToolkit.@variables t der = ModelingToolkit.Differential(t) parameters = ModelingToolkit.@parameters( alpha, beta, dpdach, gamma, k0, l0,...

@finmod Oh this is actually great news, I will check it out when I get some more time. Been busy with teaching and other duties, but it looks very promising!...

Hi! ModelingToolkit is imported in the backend. (See MTK_Codegeneration.jl) Yes, the documentation is currently lacking, some basic options are provided in the readme. The provided model should work in principle....

The first one I think is rather simple to solve, it is just a slight oversight on my part. The second issue is a bit deeper, I will look into...

[ModelA1.zip](https://github.com/JKRT/OM.jl/files/9033150/ModelA1.zip) @finmod you could try this model Based on a slightly modified variant of your previous model: ``` model ModelA1 parameter Real alpha = 0.5; //(start = 0.5); parameter Real...

I notified Adrian when I profiled the Julia variant at some places we did much more allocations than we should have for some branches. The reason is that Julia currently...