TY - GEN A1 - Berthold, Timo A1 - Gamrath, Gerald A1 - Gleixner, Ambros A1 - Heinz, Stefan A1 - Koch, Thorsten A1 - Shinano, Yuji T1 - Solving mixed integer linear and nonlinear problems using the SCIP Optimization Suite N2 - This paper introduces the SCIP Optimization Suite and discusses the capabilities of its three components: the modeling language Zimpl, the linear programming solver SoPlex, and the constraint integer programming framework SCIP. We explain how these can be used in concert to model and solve challenging mixed integer linear and nonlinear optimization problems. SCIP is currently one of the fastest non-commercial MIP and MINLP solvers. We demonstrate the usage of Zimpl, SCIP, and SoPlex by selected examples, we give an overview of available interfaces, and outline plans for future development. T3 - ZIB-Report - 12-27 KW - LP, MIP, CIP, MINLP, modeling, optimization, SCIP, SoPlex, Zimpl Y1 - 2012 UR - https://opus4.kobv.de/opus4-zib/frontdoor/index/index/docId/1565 UR - https://nbn-resolving.org/urn:nbn:de:0297-zib-15654 SN - 1438-0064 ER -