The NEOS Server offers SCIP for the solution of mixed-integer linear
and nonlinear programming problems in
Python , specifically in
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
This solver was implemented by
Hans Mittelmann and executes at
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.