The NEOS Server offers SCIP for the solution of mixed-integer
second order cone problems in
CPLEX extended MPS or in CPLEX LP format.
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 with the nonlinear solver IPOPT. See these
benchmarks for the relative performance of SCIP.
Source and documentation are available from the
The SCIP developers are listed
This solver was implemented by
Hans Mittelmann and executes in 64-bit at
The administrator of SCIP reserves the right to keep and use problem
instances submitted through NEOS for testing and debugging purposes.