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paper/paper.md

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@@ -13,7 +13,7 @@ authors:
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affiliations:
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- name: Computer Science, School of Business, Stockton University, Galloway, NJ 08205
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index: 1
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date: 8 August 2018
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date: 20 August 2018
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bibliography: paper.bib
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---
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@@ -88,10 +88,10 @@ deviation distance normalized | $O(n)$ | yes | [@ronald1998; @sorensen07]
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edit distance | $O(n^2)$ | yes | [@wagner74; @sorensen07]
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exact match distance | $O(n)$ | yes | [@ronald1998]
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interchange distance | $O(n)$ | yes | [@cicirello2013]
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Kendall tau distance | $O(n^2)$ | yes | [@kendall1938; @meila2010; @fagin2003]
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Kendall tau distance | $O(n \lg n)$ | yes | [@kendall1938; @meila2010; @fagin2003]
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Lee distance | $O(n)$ | yes | [@lee58]
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r-type distance | $O(n)$ | yes | [@campos2005; @marti2005]
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reinsertion distance | $O(n^2)$ | yes | [@cicirello2016; @cicirello2013]
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reinsertion distance | $O(n \lg n)$ | yes | [@cicirello2016; @cicirello2013]
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reversal distance | Init: $O(n!n^3)$ Compute: $O(n^2)$ | yes | [@cicirello2016; @caprara1997]
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squared deviation distance | $O(n)$ | yes | [@sevaux2005]
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