PySCIPOpt: Mathematical Programming in Python with the SCIP Optimization Suite
- Cite this paper as:
- Maher S., Miltenberger M., Pedroso J.P., Rehfeldt D., Schwarz R., Serrano F. (2016) PySCIPOpt: Mathematical Programming in Python with the SCIP Optimization Suite. In: Greuel GM., Koch T., Paule P., Sommese A. (eds) Mathematical Software – ICMS 2016. ICMS 2016. Lecture Notes in Computer Science, vol 9725. Springer, Cham
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.