https://github.com/scipopt/scip

SCIP - Solving Constraint Integer Programs
https://github.com/scipopt/scip

constraint-programming integer-programming minlp minlp-solver mip mip-solver scip

Last synced: 4 months ago
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SCIP - Solving Constraint Integer Programs

• Host: GitHub
• URL: https://github.com/scipopt/scip
• Owner: scipopt
• License: other
• Created: 2021-02-26T09:16:17.000Z (over 3 years ago)
• Default Branch: master
• Last Pushed: 2024-03-21T02:54:04.000Z (4 months ago)
• Last Synced: 2024-03-21T03:40:22.880Z (4 months ago)
• Topics: constraint-programming, integer-programming, minlp, minlp-solver, mip, mip-solver, scip
• Language: C
• Homepage:
• Size: 220 MB
• Stars: 329
• Watchers: 9
• Forks: 55
• Open Issues: 21
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG
  • License: LICENSE

Lists

• awesome-opensource-hardware - scip

README

        
# 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 and branch-cut-and-price. It 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](https://git.zib.de) and a read-only

mirror is available at

[github.com/scipopt/scip](https://github.com/scipopt/scip).

Further information and resources are available through the official website at

[scipopt.org](https://scipopt.org):

- [online documentation](https://scipopt.org/doc) 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](INSTALL.md) or in the [online

documentation](https://scipopt.org/doc/html/INSTALL.php).