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Complement (complexity)

In computational complexity theory, the complement of a decision problem is the decision problem resulting from reversing the yes and no answers. Equivalently, if we define decision problems as sets of finite strings, then the complement of this set over some fixed domain is its complement problem.

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Map overview Semantic statistics

Complement (complexity)

Nodes26
Edges25
Triples6
Avg. degree1.92
Density0.076923
Components1

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Important terminology Word statistics

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Important terminology

complement class problem closed complexity every set classes one original turing reductions closure sl decision yes define problems domain important

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
BPPinstance ofprobabilistic classes0.80text
ZPPinstance ofprobabilistic classes0.80text
BQP or PP that are defined symmetrically with regard to their yesinstance ofprobabilistic classes0.80text
no instances are closed under complementinstance ofprobabilistic classes0.80text
whereas classes such as RPinstance ofprobabilistic classes0.80text
co-RP that define their probabilities with one-sided error are notinstance ofprobabilistic classes0.80text

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