Filtern
Erscheinungsjahr
- 2016 (1)
Dokumenttyp
- Konferenzbeitrag (1)
Sprache
- Englisch (1)
Volltext vorhanden
- nein (1) (entfernen)
Gehört zur Bibliographie
- nein (1)
Institut
- Mathematical Optimization (1) (entfernen)
SCIP is a solver for a wide variety of mathematical optimization problems. It is written in C and extendable due to its plug-in based design. However, dealing with all C specifics when extending SCIP can be detrimental to development and testing of new ideas. This paper attempts to provide a remedy by introducing PySCIPOpt, a Python interface to SCIP that enables users to write new SCIP code entirely in Python. We demonstrate how to intuitively model mixed-integer linear and quadratic optimization problems and moreover provide examples on how new Python plug-ins can be added to SCIP.