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Add the global constraint that a has type b -> c.
We propose efficient and effective filtering algorithms for propagating this global constraint.
Also, we present the conditional extension to the timetable global constraint.
The algorithm produces a local condition such that if the local data satisfies this condition then, based on the previous satisfaction of the global constraint, the global constraint is still satisfied.
Should this global constraint perform adequately, the complexity of the underlying mathematical programming problem would be drastically reduced.
In this paper, we propose a constraint programming approach to cutset problems and design a global constraint for computing cutsets.
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(3) In the focusing module, a local and global constraint-based optimization algorithm is presented to dynamically estimate the focus plane of the moving object.
A slot definition specifies global constraints that apply to the slot relation.
Constraint partitioning, however, introduces global constraints that may be violated when subproblems are evaluated independently.
The global constraints are partitioned into constraint sets corresponding to the faces, edges and vertices in the scene.
The shape and structure of the system emerge from the global optimization, under global constraints.
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CEO of Professional Science Editing for Scientists @ prosciediting.com