Average-case complexity: Difference between revisions

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for some constants {{mvar|C}} and {{mvar|ε}}, where {{math|''n'' {{=}} {{abs|''x''}}}}.<ref name="ab09">{{cite book |last1=Arora |first1=Sanjeev |title=Computational Complexity: A Modern Approach |last2=Barak |first2=Boaz |date=2009 |publisher=Cambridge University Press |___location=Cambridge ; New York |chapter=18. Average case complexity: Levin’s theory}}</ref> In other words, an algorithm {{mvar|A}} has good average-case complexity if, after running for {{math|''t''<sub>''A''</sub>(''n'')}} steps, {{mvar|A}} can solve all but a {{math|{{sfrac|''n''<sup>''c''</sup>|(''t''<sub>''A''</sub>(''n''))<sup>''ε''</sup>}}}} fraction of inputs of length {{mvar|n}}, for some {{math|''ε'', ''c'' &gt; 0}}.<ref name="bog06"/>
 
===Distributional problem===
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* {{cite book |last1=Wang |first1=Jie |url=https://www.cs.uml.edu/~wang/acc-forum/avgcomp.pdf |title=Complexity Theory: Retrospective II |date=1997 |publisher=Springer Science & Business Media |editor-last1=Hemaspaandra |editor-first1=Lane A. |volume=2 |pages=295–328 |chapter=Average-case computational complexity theory |editor-last2=Selman |editor-first2=Alan L.}}
* {{Citation |last=Goldreich |first=Oded |title=Average Case Complexity, Revisited |date=2011 |work=Studies in Complexity and Cryptography. Miscellanea on the Interplay between Randomness and Computation |series=Lecture Notes in Computer Science |volume=6650 |pages=422–450 |editor-last=Goldreich |editor-first=Oded |url=https://www.wisdom.weizmann.ac.il/~oded/COL/aver.pdf |place=Berlin, Heidelberg |publisher=Springer Berlin Heidelberg |doi=10.1007/978-3-642-22670-0_29 |isbn=978-3-642-22669-4}}
* {{cite book |last1=Arora |first1=Sanjeev |title=Computational Complexity: A Modern Approach |last2=Barak |first2=Boaz |date=2009 |publisher=Cambridge University Press |___location=Cambridge ; New York |chapter=18. Average case complexity: Levin’s theory}}
 
The literature of average case complexity includes the following work: