References etc.
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@ -930,7 +930,7 @@ The maximum flow of this graph is as follows:
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\index{Hall's theorem}
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\index{Hall's theorem}
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\index{perfect matching}
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\index{perfect matching}
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\key{Hall's theorem} can be used to find out
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\key{Hall's theorem} \cite{hal35} can be used to find out
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whether a bipartite graph has a matching
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whether a bipartite graph has a matching
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that contains all left or right nodes.
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that contains all left or right nodes.
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If the number of left and right nodes is the same,
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If the number of left and right nodes is the same,
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@ -1020,7 +1020,7 @@ has at least one endpoint in the set.
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In a general graph, finding a minimum node cover
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In a general graph, finding a minimum node cover
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is a NP-hard problem.
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is a NP-hard problem.
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However, if the graph is bipartite,
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However, if the graph is bipartite,
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\key{Kőnig's theorem} tells us that
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\key{Kőnig's theorem} \cite{kon31} tells us that
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the size of a minimum node cover
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the size of a minimum node cover
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and the size of a maximum matching are always equal.
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and the size of a maximum matching are always equal.
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Thus, we can calculate the size of a minimum node cover
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Thus, we can calculate the size of a minimum node cover
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@ -1409,7 +1409,7 @@ An \key{antichain} is a set of nodes of a graph
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such that there is no path
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such that there is no path
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from any node to another node
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from any node to another node
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using the edges of the graph.
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using the edges of the graph.
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\key{Dilworth's theorem} states that
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\key{Dilworth's theorem} \cite{dil50} states that
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in a directed acyclic graph, the size of
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in a directed acyclic graph, the size of
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a minimum general path cover
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a minimum general path cover
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equals the size of a maximum antichain.
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equals the size of a maximum antichain.
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17
list.tex
17
list.tex
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@ -44,6 +44,11 @@
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A note on two problems in connexion with graphs.
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A note on two problems in connexion with graphs.
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\emph{Numerische Mathematik}, 1(1):269--271, 1959.
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\emph{Numerische Mathematik}, 1(1):269--271, 1959.
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\bibitem{dil50}
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R. P. Dilworth.
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A decomposition theorem for partially ordered sets.
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\emph{Annals of Mathematics}, 51(1):161--166, 1950.
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\bibitem{dir52}
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\bibitem{dir52}
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G. A. Dirac.
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G. A. Dirac.
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Some theorems on abstract graphs.
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Some theorems on abstract graphs.
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@ -117,6 +122,13 @@
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Computer Science and Computational Biology},
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Computer Science and Computational Biology},
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Cambridge University Press, 1997.
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Cambridge University Press, 1997.
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\bibitem{hal35}
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P. Hall.
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On representatives of subsets.
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\emph{Journal London Mathematical Society} 10(1):26--30, 1935.
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On representatives of subsets. J. London Math. Soc, 10(1), 26-30.
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\bibitem{hel62}
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\bibitem{hel62}
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M. Held and R. M. Karp.
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M. Held and R. M. Karp.
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A dynamic programming approach to sequencing problems.
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A dynamic programming approach to sequencing problems.
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@ -164,6 +176,11 @@
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D. E. Knuth.
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D. E. Knuth.
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\emph{The Art of Computer Programming. Volume 3: Sorting and Searching}, Addison–Wesley, 1998 (2nd edition).
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\emph{The Art of Computer Programming. Volume 3: Sorting and Searching}, Addison–Wesley, 1998 (2nd edition).
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\bibitem{kon31}
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D. Kőnig.
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Gráfok és mátrixok.
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\emph{Matematikai és Fizikai Lapok}, 38(1):116--119, 1931.
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\bibitem{kru56}
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\bibitem{kru56}
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J. B. Kruskal.
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J. B. Kruskal.
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On the shortest spanning subtree of a graph and the traveling salesman problem.
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On the shortest spanning subtree of a graph and the traveling salesman problem.
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