By Marie Pelleau
Constraint Programming goals at fixing difficult combinatorial difficulties, with a computation time expanding in perform exponentially. The tools are at the present time effective sufficient to resolve huge commercial difficulties, in a universal framework. although, solvers are devoted to a unmarried variable variety: integer or genuine. fixing combined difficulties will depend on advert hoc ameliorations. In one other box, summary Interpretation deals instruments to end up application houses, by means of learning an abstraction in their concrete semantics, that's, the set of attainable values of the variables in the course of an execution. numerous representations for those abstractions were proposed. they're known as summary domain names. summary domain names can combine any form of variables, or even signify family members among the variables.
In this paintings, we outline summary domain names for Constraint Programming, to be able to construct a common fixing process, facing either integer and genuine variables. We additionally research the octagons summary area, already outlined in summary Interpretation. Guiding the hunt via the octagonal kinfolk, we receive solid effects on a continual benchmark. We additionally outline our fixing procedure utilizing summary Interpretation suggestions, for you to comprise present summary domain names. Our solver, AbSolute, is ready to remedy combined difficulties and use relational domains.
- Exploits the over-approximation how to combine AI instruments within the tools of CP
- Exploits the relationships captured to resolve non-stop difficulties extra effectively
- Learn from the builders of a solver in a position to dealing with virtually all summary domains
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Extra info for Abstract Domains in Constraint Programming
Abstract Domains in Constraint Programming by Marie Pelleau