In computational complexity theory, NP-complete problems are the hardest of the problems to which solutions can be verified quickly. Somewhat more precisely, a problem is NP-complete when: It is a decision problem, meaning that for any input to the problem, the output is either "yes" or "no".
In computational complexity theory, NP-complete problems are the hardest of the problems to which solutions can be verified quickly. Somewhat more precisely, a problem is NP-complete when: It is a decision problem, meaning that for any input to the problem, the output is either "yes" or "no".
Source: Wikipedia "NP-completeness" · CC BY-SA 4.0
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