The combinatorial algorithm for computing pi(x)
dc.contributor.author | Staple, Douglas | |
dc.contributor.copyright-release | Not Applicable | en_US |
dc.contributor.degree | Master of Science | en_US |
dc.contributor.department | Department of Mathematics & Statistics - Math Division | en_US |
dc.contributor.ethics-approval | Not Applicable | en_US |
dc.contributor.external-examiner | n/a | en_US |
dc.contributor.graduate-coordinator | David Iron | en_US |
dc.contributor.manuscripts | Not Applicable | en_US |
dc.contributor.thesis-reader | Meng He | en_US |
dc.contributor.thesis-reader | Keith Johnson | en_US |
dc.contributor.thesis-supervisor | Karl Dilcher | en_US |
dc.date.accessioned | 2015-08-19T12:43:20Z | |
dc.date.available | 2015-08-19T12:43:20Z | |
dc.date.defence | 2015-08-17 | |
dc.date.issued | 2015 | |
dc.description.abstract | This thesis describes recent advances in the combinatorial method for computing pi(x), the number of primes less-than or equal-to x. In particular, the memory usage has been reduced by a factor of log x, and modifications for shared- and distributed-memory parallelism have been incorporated. The resulting method computes pi(x) with complexity O(x^(2/3) (log x)^(-2)) in time and O(x^(1/3) (log x)^2) in space. The algorithm has been implemented and used to compute pi(10^n) for 1 <= n <= 26 and pi(2^m) for 1 <= m <= 86. The mathematics presented here is consistent with and builds on that of previous authors. | en_US |
dc.identifier.uri | http://hdl.handle.net/10222/60524 | |
dc.language.iso | en | en_US |
dc.subject | prime counting function | en_US |
dc.subject | pi(x) | en_US |
dc.title | The combinatorial algorithm for computing pi(x) | en_US |
dc.type | Thesis | en_US |
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