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International Conference on Principles and Practice of Constraint Programming

CP 2005: Principles and Practice of Constraint Programming - CP 2005 pp 167–181Cite as

Beyond Hypertree Width: Decomposition Methods Without Decompositions

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Part of the Lecture Notes in Computer Science book series (LNPSE,volume 3709)

Abstract

The general intractability of the constraint satisfaction problem has motivated the study of restrictions on this problem that permit polynomial-time solvability. One major line of work has focused on structural restrictions, which arise from restricting the interaction among constraint scopes. In this paper, we engage in a mathematical investigation of generalized hypertree width, a structural measure that has up to recently eluded study. We obtain a number of computational results, including a simple proof of the tractability of CSP instances having bounded generalized hypertree width.

Keywords

  • Relational Structure
  • Constraint Satisfaction
  • Tree Decomposition
  • Winning Strategy
  • Relation Symbol

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Author information

Authors and Affiliations

  1. Departament de Tecnologia, Universitat Pompeu Fabra, Barcelona, Spain

    Hubie Chen & Víctor Dalmau

Authors
  1. Hubie Chen
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  2. Víctor Dalmau
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Editor information

Editors and Affiliations

  1. Cheriton School of Computer Science, University of Waterloo, N2L 3G1, Waterloo, Ontario, Canada

    Peter van Beek

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Chen, H., Dalmau, V. (2005). Beyond Hypertree Width: Decomposition Methods Without Decompositions. In: van Beek, P. (eds) Principles and Practice of Constraint Programming - CP 2005. CP 2005. Lecture Notes in Computer Science, vol 3709. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11564751_15

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  • DOI: https://doi.org/10.1007/11564751_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29238-8

  • Online ISBN: 978-3-540-32050-0

  • eBook Packages: Computer ScienceComputer Science (R0)