SCIP: Solving Constraint Integer Programs

Welcome to what is currently one of the fastest academically developed solvers for mixed integer programming (MIP) and mixed integer nonlinear programming (MINLP). In addition, SCIP provides a highly flexible framework for constraint integer programming, branch-cut-and-price, and can optionally be configured to solve mixed-integer linear programs in a numerically exact solving mode. SCIP allows for total control of the solution process and the access of detailed information down to the guts of the solver.

The original instance of this repository is hosted at git.zib.de and a read-only mirror is available at github.com/scipopt/scip.

Further information and resources are available through the official website at scipopt.org:

• online documentation of the code with information how to get started,
• downloads of official releases and binaries for various platforms,
• release reports and scientific articles describing the algorithms behind SCIP,
• information how to cite SCIP when you use it in scientific publications,
• ...

For installation instructions have a look here or in the online documentation.