TUdatalib : Debugging Tool for MILP and MIQCP formulations: obtaining constraints responsible for infeasible or unbounded pyomo models using Gurobi solver.

dc.contributor.author	Roth, Maximilian
dc.date.accessioned	2022-05-10T14:22:18Z
dc.date.available	2022-05-10T14:22:18Z
dc.date.issued	2022-05
dc.identifier.uri	https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/3460
dc.identifier.uri	https://doi.org/10.48328/tudatalib-872
dc.description	Optimization problems, in this case written in Pyomo, with modeling errors can lead to infeasibility of the model. From the perspective of the modeler, it is therefore essential to know which constraints lead to the infeasibility of the problem or which constraints are contradictory and which constraints have to be adjusted to make the model feasible. In this case, the IIS (Irreducible Inconsistent Subsystem) function of Gurobi is used as a basis, the interface to Pyomo is implemented and a structured output file is created.	de_DE
dc.language.iso	en	de_DE
dc.rights	Open Data Commons Attribution License (ODC-By) v1.0
dc.rights.uri	https://opendatacommons.org/licenses/by/1.0/
dc.subject	MILP	de_DE
dc.subject	MIQCP	de_DE
dc.subject	Debugging	de_DE
dc.subject	Pyomo	de_DE
dc.subject	Python	de_DE
dc.subject.classification	4.43-02 Softwaretechnik und Programmiersprachen	de_DE
dc.subject.ddc	004
dc.title	Debugging Tool for MILP and MIQCP formulations: obtaining constraints responsible for infeasible or unbounded pyomo models using Gurobi solver.	de_DE
dc.type	Software	de_DE
tud.unit	TUDa
tud.history.classification	Version=2020-2024;409-02 Softwaretechnik und Programmiersprachen

Mixed-Integer Linear Programming (MILP) Algorithms [2]
This collection contains code for MILP-related problem formulations (e.g. linearization methods).

Solange nicht anders angezeigt, wird die Lizenz wie folgt beschrieben: Open Data Commons Attribution License (ODC-By) v1.0