-
**Description of problem:**
When using the age-structured model, the number of social interactions within the population is controlled using the 'total' interaction matrix $N_c$. This is a 16x16 ma…
-
The following MOD file:
```
NEURON {
SUFFIX disc
GLOBAL k, a0
}
PARAMETER {
k = 1
}
STATE {
a
}
INITIAL {
a = a0
}
BREAKPOINT {
SOLVE dis
}
DISCRETE dis {
a …
-
### Scenario trees/lattice reading
Scenarios for multistage stochastic programs
https://www.karlin.mff.cuni.cz/~kopa/papers/vanc-ed.pdf
Overview of scenario tree generation methods, applied in …
msz13 updated
2 weeks ago
-
Hey there,
I found your project which seems promising for a problem, I am currently working on.
However, I as far as I can see, the option to include discrete variables in the optimization is not ye…
-
Hi,
I am trying to interpret some impedance spectra using your package.
As a new user, I followed the procedure described in ``Fitting EIS data.ipynb'' and
I have successfully obtained the drt inv…
-
There are a number of contexts were discrete variables are required to perform optimization, specifically multi-task optimization at discrete fidelities.
TODO list:
- implement discrete variable s…
-
Hi,
Thanks for the nice package.
I am encountering issues when trying to use `Param_Discrete_Numeric`.
If I understand the code correctly the idea is to use this as a continuous variable dur…
-
Hello Marco !
I now have a new optimization problem, which is very demanding computationally (several biological systems in different MD simulations at each evaluation during optimization) and most…
-
Have there been any thoughts of implementing an optimization routine (with interface to Python) that can optimize multiple types of parameters at once? This is often needed when optimizing machine lea…
-
## 🐛 Bug
C++ solvers import fails with scikit-decide 1.0.1. This seems to be very specific to Windows setups so please check the environment below. I'm trying with Astar, while debugging I saw that…