Statistics
You can get some statistics after the problem is solved.
Variable | Description |
---|---|
nintvars | Number of integer variables |
nbinvars | Number of binary variables |
nnodes | Number of explored nodes in branch and bound |
ncuts | Number of cuts |
nbranches | Number of branches |
nlevels | Deepest level reached (Root node is level 1) |
To access these statistics you can use JuMP.backend(m)
i.e.:
internal_model = JuMP.backend(m)
println("#IntVars: ", internal_model.optimizer.model.inner.nintvars)