StructuralIdentifiability.jl
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SciML
Fast and automatic structural identifiability software for ODE systems
https://github.com/SciML/ModelingToolkit.jl/runs/7436883032?check_suite_focus=true We're seeing a bunch of odd downstream failures, so testing master
It isn't an issue, but more of a functionality. Is there a way to impose constraint like, the bounds for parameters, or the bounds for the state-variables, in the identifiability...
The following code ```julia using StructuralIdentifiability, OrdinaryDiffEq, ModelingToolkit function f(du,u,p,t) b,c,a,beta,g,delta,sigma = p du[1] = -b * u[1] + 1/(c + u[4]) du[2] = a * u[1] - beta *...
`GroebnerBasis.jl` is now depreciated, so it would be great to move the code to `msolve`. At the moment, F4 works only over finite fields, so one should either - refine...
## Main idea Many models of interest (especially, in life sciences) have linear first integrals (for example, conservation of mass, etc.). If there is such a first integral `a_1 *...
Alexey Ovchinnikov has reported the failure of an assertion during reparametrization on ```julia ode = @ODEmodel( x'(t) = b * (x(t)^2 + 1) / (2 * a), y(t) = 2...
Right now, the only way to describe a discrete-time system is via the `@DDSmodel` macro because the old `DiscreteSystem` interface has been removed from MTK. One the new interface will...
In addition to knowing the ODE system and time series data for some outputs, one frequently also knows the initial conditions for some of the states. It would be great...
The [SciML tutorial](https://docs.sciml.ai/ModelingToolkit/dev/tutorials/parameter_identifiability/) while working with the current version of the package does not have many of the recent features starting with allowing `measured_quantities` to be a list of expressions...