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Counting Linear Extensions: Parameterizations by Treewidth.

E EibenR GanianK KangasS Ordyniak
Published in: Algorithmica (2018)
We consider the # P -complete problem of counting the number of linear extensions of a poset ( # LE ) ; a fundamental problem in order theory with applications in a variety of distinct areas. In particular, we study the complexity of # LE parameterized by the well-known decompositional parameter treewidth for two natural graphical representations of the input poset, i.e., the cover and the incomparability graph. Our main result shows that # LE is fixed-parameter intractable parameterized by the treewidth of the cover graph. This resolves an open problem recently posed in the Dagstuhl seminar on Exact Algorithms. On the positive side we show that # LE becomes fixed-parameter tractable parameterized by the treewidth of the incomparability graph.
Keyphrases
  • neural network
  • convolutional neural network
  • machine learning
  • deep learning
  • density functional theory
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