DominikKamp
DominikKamp
The approach might be improved with the new implied integrality convention (enforced integral variables of type `SCIP_VARTYPE_BINARY` and `SCIP_VARTYPE_INTEGER` must be integral in every feasible solution independent of implied integrality)....
This would be possible. But I believe a reference value should pass this assertion (at least when relaxed to enforced integral variables), so maybe this can be achieved before calling...
This is fixed with c57aadf7789d9f3e951c0ba7082c6ed0c6107556 as explained above.
The declaration is already in `SparseStorage.hpp` referred by the link in https://github.com/scipopt/papilo/issues/72#issue-3381623711. So the implementation for C-array input is missing. Since it is not used inside PaPILO, a concrete demonstration...
Please also consider support for `SCIPvarGetImplType()`, `SCIPvarIsBinary()`, `SCIPvarIsIntegral()`, `SCIPvarIsImpliedIntegral()`, and `SCIPvarIsNonimpliedIntegral()`.
I guess it is always better to describe the fail instead of only saying that there is one.
No problem, this just makes me nervous, and this way it is easier to handle. In `pricerredcost()` there is `self.model.data["nSols"] = self.model.getNSolsFound()` so `self.model.data["nSols"]` is the number of solutions when...
Try with `s.setHeuristics(pyscipopt.SCIP_PARAMSETTING.OFF)`, `0` means default.
Thanks for the bug report! This is a different issue because there are no fixed variables. Try to additionally reduce `numerics/sumepsilon = 1e-9` for a workaround.
In general make sure that `numerics/epsilon`