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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:
History, Known NP-complete problems & Properties
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np-complete problems problem np time polynomial known polynomial-time solution algorithm quickly one solutions whether solve reductions class often computer verified
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| NP-completeness | is a | logarithmic-space many-one reduction which is a many-one reduction that can be computed with only a logarithmic amount of space | 0.90 | text |
| P-complete | instance of | This type of reduction is more refined than the more usual polynomial-time many-one reductions and it allows us to distinguish more classes | 0.80 | text |
| A C 0 | instance of | All currently known NP-complete problems remain NP-complete even under much weaker reductions | 0.80 | text |
| SAT are known to be complete even under polylogarithmic time projections | instance of | Some NP-Complete problems | 0.80 | text |
| NP-completeness | related to history | The | 0.60 | section |
| NP-completeness | related to history | Cook | 0.60 | section |
| NP-completeness | related to history | Levin | 0.60 | section |
| NP-completeness | related to history | NP-complete | 0.60 | section |
| NP-completeness | related to history | At | 0.60 | section |
| NP-completeness | related to history | STOC | 0.60 | section |
| NP-completeness | related to history | Turing | 0.60 | section |
| NP-completeness | related to history | John Hopcroft | 0.60 | section |
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