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It is well known that a optimization problem can be turned into a decision problem with an extra parameter: e.g. in TSP we are looking for the lowest cost for a tour, the decision version therefore could check whether a a tour exists which costs at most $K$.

Lets assume we are talking about an optimization problem which is either NP or NP-hard. Can the corresponding decision problem ever be in P?

NB: What I am trying to ask is: if a optimization problem cannot be solved in polynomial time, can the corresponding decision problem be solve in polynomial time?

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Optimization problems cannot belong to NP or be NP-hard any more than apples. NP is a class of decision problems, and NP-hardness is a property of decision problems. When we say that an optimization problem is in NP or is NP-hard, what we really mean is that the corresponding decision problem is in NP or is NP-hard.

Yuval Filmus
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