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For over ten years, the constraint integer programming framework SCIP hasbeen extended by capabilities for the solution of convex and nonconvexmixed-integer nonlinear programs (MINLPs). With the recently published version8.0, these capabilities have been largely reworked and extended. This paperdiscusses the motivations for recent changes and provides an overview offeatures that are particular to MINLP solving in SCIP. Further, difficulties inbenchmarking global MINLP solvers are discussed and a comparison with severalstate-of-the-art global MINLP solvers is provided.

Global Optimization of Mixed-Integer Nonlinear Programs with SCIP 8