Specialising Finite Domain Programs Using Polyhedra
Jacob M. Howe, Andy King
Abstract
Open-access reader
Jacob M. Howe, Andy King
Abstract
Open-access reader
A procedure is described for tightening domain constraints of finite domain logic programs by applying a static analysis based on convex polyhedra. Individual finite domain constraints are over-approximated by polyhedra to describe the solution space over n integer variables as an n dimensional polyhedron. This polyhedron is then approximated, using projection, as an n dimensional bounding box that can be used to specialise and improve the domain constraints. The analysis can be implemented straightforwardly and an empirical evaluation of the specialisation technique is given.
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A procedure is described for tightening domain constraints of finite domain logic programs by applying a static analysis based on convex polyhedra. Individual finite domain constraints are over-approximated by polyhedra to describe the solution space over n integer variables as an n dimensional polyhedron. This polyhedron is then approximated, using projection, as an n dimensional bounding box that can be used to specialise and improve the domain constraints. The analysis can be implemented straightforwardly and an empirical evaluation of the specialisation technique is given.
Key concepts: Polyhedron, Domain (mathematical analysis), Regular polygon, Bounding overwatch, Computer science, Projection (relational algebra), Integer points in convex polyhedra, Convex polytope