Solving Constraint Integer Programs

The Solving Constraint Integer Programs software is a powerful framework for constraint integer programming. It offers efficient solutions for both Integer Programs and Constraint Programs using a similar technique. The problem is broken down into smaller subproblems and solved recursively through branching.

Despite similar techniques, Integer Programming and Constraint Programming have different strengths. Integer Programming employs LP relaxations and cutting planes to provide strong dual bounds, while Constraint Programming can handle arbitrary (non-linear) constraints and employs propagation to tighten the variable's domains.

SCIP is a highly specialized framework for Constraint Integer Programming designed for Mathematical Programming experts. It offers precise control over the solution process and allows access to detailed information down to the solver's inner workings. Additionally, SCIP can function as a pure MIP solver or a branch-cut-and-price framework. Overall, if you require precise control and detailed insight into the solving process, SCIP is the ideal software for Constraint Integer Programming.