6045
2016
eng
301
307
9725
conferenceobject
Springer
0
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PySCIPOpt: Mathematical Programming in Python with the SCIP Optimization Suite
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.
Mathematical Software – ICMS 2016
10.1007/978-3-319-42432-3_37
yes
Lecture Notes in Computer Science
urn:nbn:de:0297-zib-61348
Stephen J. Maher
Daniel Rehfeldt
Matthias Miltenberger
João Pedro Pedroso
Daniel Rehfeldt
Robert Schwarz
Felipe Serrano
Mathematical Optimization
Miltenberger, Matthias
Rehfeldt, Daniel
Serrano, Felipe
MODAL-GasLab
MODAL-SynLab
MODAL-Gesamt