{"id":168834,"date":"2012-01-01T00:00:00","date_gmt":"2012-01-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/incremental-cycle-detection-topological-ordering-and-strong-component-maintenance\/"},"modified":"2018-10-16T21:30:43","modified_gmt":"2018-10-17T04:30:43","slug":"incremental-cycle-detection-topological-ordering-and-strong-component-maintenance","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/incremental-cycle-detection-topological-ordering-and-strong-component-maintenance\/","title":{"rendered":"Incremental Cycle Detection, Topological Ordering, and Strong Component Maintenance"},"content":{"rendered":"<p>We present two online algorithms for maintaining a topological order of a directed n-vertex acyclic graph as<br \/>\narcs are added, and detecting a cycle when one is created. Our first algorithm handles m arc additions in<br \/>\nO(m3\/2) time. For sparse graphs (m\/n = O(1)), this bound improves the best previous bound by a logarithmic<br \/>\nfactor, and is tight to within a constant factor among algorithms satisfying a natural locality property.<br \/>\nOur second algorithm handles an arbitrary sequence of arc additions in O(n5\/2) time. For sufficiently dense<br \/>\ngraphs, this bound improves the best previous bound by a polynomial factor. Our bound may be far from<br \/>\ntight: we show that the algorithm can take  (n22<br \/>\n\u221a<br \/>\n2 lgn) time by relating its performance to a generalization<br \/>\nof the k-levels problem of combinatorial geometry. A completely different algorithm running in  (n2 log n)<br \/>\ntime was given recently by Bender, Fineman, and Gilbert. We extend both of our algorithms to the maintenance<br \/>\nof strong components, without affecting the asymptotic time bounds.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We present two online algorithms for maintaining a topological order of a directed n-vertex acyclic graph as arcs are added, and detecting a cycle when one is created. Our first algorithm handles m arc additions in O(m3\/2) time. For sparse graphs (m\/n = O(1)), this bound improves the best previous bound by a logarithmic factor, [&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":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"ACM Transactions on Algorithms","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"ACM Transactions on Algorithms","msr_number":"1","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"8","msr_copyright":"","msr_conference_name":"","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"Telikepalli Kavitha, Rogers Mathew, Robert E. 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