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scip



The NEOS Server offers SCIP for the solution of mixed-integer linear and nonlinear programming problems in Python , specifically in PySCIPOpt.

SCIP is a framework for Constraint Integer Programming oriented towards the needs of Mathematical Programming experts who want to have total control of the solution process and access detailed information. SCIP can also be used as pure MIP solver or as framework for branch-cut-and-price.

SCIP can be linked with a number of LP solvers and the NLP solver IPOPT. See this benchmark for the relative performance of SCIP and a shared-memory parallel version FiberSCIP.

Source and documentation are available from the SCIP Homepage

This solver was implemented by Hans Mittelmann and executes at


Using the NEOS Server for SCIP-PYTHON

The user must submit a mixed-integer programming problem in Python/PySCIPOpt format. See sample submission problems.

When submitting via e-mail or XML-RPC delete empty tokens!

The administrator of SCIP reserves the right to keep and use problem instances submitted through NEOS for testing and debugging purposes.


Web Submission Form
Python file
Enter the complete path to the Python file
Comments
Additional Settings


E-Mail address:
Please do not click the 'Submit to NEOS' button more than once.