Difference between revisions of "Publications/newton.16.dag.report"

From LRDE

 
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| lrdeprojects = Climb
 
| lrdeprojects = Climb
 
| authors = Jim Newton
 
| authors = Jim Newton
| title = Finding maximal common joins in a DAG
+
| title = Finding Maximal Common Joins in a DAG
 
| institution = LRDE
 
| institution = LRDE
 
| address = Paris, France
 
| address = Paris, France
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@TechReport<nowiki>{</nowiki> newton.16.dag.report,
 
@TechReport<nowiki>{</nowiki> newton.16.dag.report,
 
author = <nowiki>{</nowiki>Jim Newton<nowiki>}</nowiki>,
 
author = <nowiki>{</nowiki>Jim Newton<nowiki>}</nowiki>,
title = <nowiki>{</nowiki>Finding maximal common joins in a DAG<nowiki>}</nowiki>,
+
title = <nowiki>{</nowiki>Finding Maximal Common Joins in a <nowiki>{</nowiki>DAG<nowiki>}</nowiki><nowiki>}</nowiki>,
 
institution = <nowiki>{</nowiki>LRDE<nowiki>}</nowiki>,
 
institution = <nowiki>{</nowiki>LRDE<nowiki>}</nowiki>,
 
year = 2016,
 
year = 2016,

Latest revision as of 12:22, 3 December 2022

Abstract

Given a directed acyclic graph (DAG) and two arbitrary nodes, find maximal common joins of the two nodes. In this technical report I suggest an algorithm for efficiently calculating the minimal set of nodes which derive from a pair of nodes.

Documents

Bibtex (lrde.bib)

@TechReport{	  newton.16.dag.report,
  author	= {Jim Newton},
  title		= {Finding Maximal Common Joins in a {DAG}},
  institution	= {LRDE},
  year		= 2016,
  address	= {Paris, France},
  month		= nov,
  abstract	= { Given a directed acyclic graph (DAG) and two arbitrary
		  nodes, find maximal common joins of the two nodes. In this
		  technical report I suggest an algorithm for efficiently
		  calculating the minimal set of nodes which derive from a
		  pair of nodes.}
}