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Constraint Satisfaction Problems Questions and Answers

Answer: A

Relaxing the integrality requirement gives a linear program whose optimum bounds the true one, and that global bound prunes in a way local propagation cannot. Constraint programming supplies stronger local reasoning about complex combinatorial structures. Both handle discrete variables and can prove infeasibility, and neither is polynomial in general. Two techniques whose strengths are complementary rather than overlapping are natural candidates for combination, which is what hybrid solvers do.

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Answer: B

A linear relaxation bounds the objective globally while propagation reasons about combinatorial structures such as sequencing and all different, and each prunes cases the other misses. Both are expressive enough alone, hybrids are considerably more complex, and no polynomial guarantee follows. Combining two pruning mechanisms whose blind spots do not coincide is the same reasoning that makes taking the maximum of two admissible heuristics worthwhile.

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