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In computational complexity theory, the average-case complexity of an algorithm is the amount of some computational resource (typically time) used by the algorithm, averaged over all possible inputs. It is frequently contrasted with worst-case complexity which considers the maximal complexity of the algorithm over all possible inputs.
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complexity average-case algorithm problems problem average algorithms time inputs worst-case case distribution efficient polynomial np distnp-complete theory possible distributional input
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| cryptography | instance of | average-case complexity analysis provides tools and techniques to generate hard instances of problems which can be utilized in areas | 0.80 | text |
| derandomization | instance of | average-case complexity analysis provides tools and techniques to generate hard instances of problems which can be utilized in areas | 0.80 | text |
| integer factorization or computing the discrete log | instance of | many candidate one-way functions are based on hard problems | 0.80 | text |
| Average-case complexity | related to Cryptography | For | 0.60 | section |
| Average-case complexity | related to Cryptography | In | 0.60 | section |
| Average-case complexity | related to Cryptography | Thus | 0.60 | section |
| Average-case complexity | related to Cryptography | Although | 0.60 | section |
| Average-case complexity | related to Cryptography | Note | 0.60 | section |
| Average-case complexity | related to Cryptography | NP-complete | 0.60 | section |
| Average-case complexity | related to Cryptography | NP | 0.60 | section |
| Average-case complexity | related to Cryptography | The | 0.60 | section |
| Average-case complexity | related to Further reading | Pedagogical | 0.60 | section |
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