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NP-equivalent - In computational complexity theory, the complexity class NP-equivalent is the set of function problems that are both NP-easy and NP-hard. NP-equivalent is the analogue of NP-complete for function problems.
NP-complete - In complexity theory, the NP-complete problems are the most difficult problems in NP, in the sense that they are the ones most likely not to be in P. The reason is that if you could find a way to solve an NP-complete problem quickly (in polynomial time), then you could use that algorithm to solve all NP problems quickly.
Co-NP-complete - In complexity theory, the complexity class Co-NP-complete is the set of problems that are the hardest problems in Co-NP, in the sense that they are the ones most likely not to be in P. If you can find a way to solve a Co-NP-complete problem quickly, then you can use that algorithm to solve all Co-NP problems quickly.
NP-hard - In computational complexity theory, NP-hard (Non-deterministic Polynomial-time hard) refers to the class of problems that contains all problems H, such that for every decision problem L in NP there exists a polynomial-time many-one reduction to H, written L ≤ H. Informally, this class can be described as containing the decision problems that are at least as hard as any problem in NP.
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