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dc.contributor.authorMaher, S
dc.contributor.authorMiltenberger, M
dc.contributor.authorPedroso, JP
dc.contributor.authorRehfeldt, D
dc.contributor.authorSchwarz, R
dc.contributor.authorSerrano, F
dc.date.accessioned2019-12-05T10:38:04Z
dc.date.issued2016-07-06
dc.description.abstractSCIP 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.en_GB
dc.description.sponsorshipGerman Federal Ministry of Education and Researchen_GB
dc.identifier.citationVol. 9725, pp. 301-307en_GB
dc.identifier.doi10.1007/978-3-319-42432-3_37
dc.identifier.grantnumber05M14ZAMen_GB
dc.identifier.urihttp://hdl.handle.net/10871/39967
dc.language.isoenen_GB
dc.publisherSpringer Verlagen_GB
dc.rights© Springer International Publishing Switzerland 2016en_GB
dc.subjectSCIPen_GB
dc.subjectMathematical optimizationen_GB
dc.subjectPythonen_GB
dc.subjectModelingen_GB
dc.titlePySCIPOpt: Mathematical Programming in Python with the SCIP Optimization Suiteen_GB
dc.typeArticleen_GB
dc.date.available2019-12-05T10:38:04Z
dc.contributor.editorGreuel, G-Men_GB
dc.contributor.editorKoch, Ten_GB
dc.contributor.editorPaule, Pen_GB
dc.contributor.editorSommese, Aen_GB
dc.descriptionThis is the author accepted manuscript. The final version is available frpm Springer Verlag via the DOI in this recorden_GB
dc.description5th International Congress on Mathematical Software (ICMS 2016), 11-14 July 2016, Berlin, Germanyen_GB
dc.identifier.journalLecture Notes in Computer Scienceen_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dcterms.dateAccepted2016-04-30
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2016-07-06
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-12-04T06:33:15Z
refterms.versionFCDAM
refterms.dateFOA2019-12-05T10:38:14Z
refterms.panelBen_GB


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