{"id":357926,"date":"2017-01-25T14:35:55","date_gmt":"2017-01-25T22:35:55","guid":{"rendered":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/?post_type=msr-research-item&#038;p=357926"},"modified":"2018-10-16T21:00:50","modified_gmt":"2018-10-17T04:00:50","slug":"pairs-shortest-paths-on2-time-high-probability","status":"publish","type":"msr-research-item","link":"https:\/\/new-cm-edgedigital.pages.dev\/en-us\/research\/publication\/pairs-shortest-paths-on2-time-high-probability\/","title":{"rendered":"All-Pairs Shortest Paths In O(n^2) Time With High Probability"},"content":{"rendered":"<p>We present an all-pairs shortest path algorithm whose running time on a complete directed graph on <span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" tabindex=\"0\"><span id=\"MathJax-Span-9\" class=\"math\"><span id=\"MathJax-Span-10\" class=\"mrow\"><span id=\"MathJax-Span-11\" class=\"mi\">n<\/span><\/span><\/span><\/span> vertices whose edge weights are chosen independently and uniformly at random from <span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" tabindex=\"0\"><span id=\"MathJax-Span-12\" class=\"math\"><span id=\"MathJax-Span-13\" class=\"mrow\"><span id=\"MathJax-Span-14\" class=\"mo\">[<\/span><span id=\"MathJax-Span-15\" class=\"mn\">0<\/span><span id=\"MathJax-Span-16\" class=\"mo\">,<\/span><span id=\"MathJax-Span-17\" class=\"mn\">1<\/span><span id=\"MathJax-Span-18\" class=\"mo\">]<\/span><\/span><\/span><\/span> is <span id=\"MathJax-Element-4-Frame\" class=\"MathJax\" tabindex=\"0\"><span id=\"MathJax-Span-19\" class=\"math\"><span id=\"MathJax-Span-20\" class=\"mrow\"><span id=\"MathJax-Span-21\" class=\"mi\">O<\/span><span id=\"MathJax-Span-22\" class=\"mo\">(<\/span><span id=\"MathJax-Span-23\" class=\"msubsup\"><span id=\"MathJax-Span-24\" class=\"mi\">n<\/span><span id=\"MathJax-Span-25\" class=\"mn\">2<\/span><\/span><span id=\"MathJax-Span-26\" class=\"mo\">)<\/span><\/span><\/span><\/span>, in expectation and with high probability. This resolves a long standing open problem. The algorithm is a variant of the dynamic all-pairs shortest paths algorithm of Demetrescu and Italiano. The analysis relies on a proof that the number of \\emph{locally shortest paths} in such randomly weighted graphs is <span id=\"MathJax-Element-5-Frame\" class=\"MathJax\" tabindex=\"0\"><span id=\"MathJax-Span-27\" class=\"math\"><span id=\"MathJax-Span-28\" class=\"mrow\"><span id=\"MathJax-Span-29\" class=\"mi\">O<\/span><span id=\"MathJax-Span-30\" class=\"mo\">(<\/span><span id=\"MathJax-Span-31\" class=\"msubsup\"><span id=\"MathJax-Span-32\" class=\"mi\">n<\/span><span id=\"MathJax-Span-33\" class=\"mn\">2<\/span><\/span><span id=\"MathJax-Span-34\" class=\"mo\">)<\/span><\/span><\/span><\/span>, in expectation and with high probability. We also present a dynamic version of the algorithm that recomputes all shortest paths after a random edge update in <span id=\"MathJax-Element-6-Frame\" class=\"MathJax\" tabindex=\"0\"><span id=\"MathJax-Span-35\" class=\"math\"><span id=\"MathJax-Span-36\" class=\"mrow\"><span id=\"MathJax-Span-37\" class=\"mi\">O<\/span><span id=\"MathJax-Span-38\" class=\"mo\">(<\/span><span id=\"MathJax-Span-39\" class=\"msubsup\"><span id=\"MathJax-Span-40\" class=\"mi\">log<\/span><span id=\"MathJax-Span-41\" class=\"texatom\"><span id=\"MathJax-Span-42\" class=\"mrow\"><span id=\"MathJax-Span-43\" class=\"mn\">2<\/span><\/span><\/span><\/span><span id=\"MathJax-Span-44\" class=\"mo\"><\/span><span id=\"MathJax-Span-45\" class=\"mi\">n<\/span><span id=\"MathJax-Span-46\" class=\"mo\">)<\/span><\/span><\/span><\/span> expected time.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We present an all-pairs shortest path algorithm whose running time on a complete directed graph on n vertices whose edge weights are chosen independently and uniformly at random from [0,1] is O(n2), in expectation and with high probability. This resolves a long standing open problem. The algorithm is a variant of the dynamic all-pairs shortest [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"IEEE","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"All-pairs shortest paths in O(n^2) time with high probability","msr_editors":"","msr_how_published":"","msr_isbn":"978-1-4244-8525-3","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"All-pairs shortest paths in O(n^2) time with high 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