Conference item
Beyond boolean surjective VCSPs
- Abstract:
- Fulla, Uppman, and Živný [ACM ToCT’18] established a dichotomy theorem for Boolean surjective general-valued constraint satisfaction problems (VCSPs), i.e., VCSPs on two-element domains in which both labels have to be used in a solution. This result, in addition to identifying the complexity frontier, features the discovery of a new non-trivial tractable case (called EDS) that does not appear in the non-surjective setting. In this work, we go beyond Boolean domains. As our main result, we introduce a generalisation of EDS to arbitrary finite domains called SEDS (similar to EDS) and establish a conditional complexity classification of SEDS VCSPs based on a reduction to smaller domains. This gives a complete classification of SEDS VCSPs on three-element domains. The basis of our tractability result is a natural generalisation of the Min-Cut problem, in which only solutions of certain size (given by a lower and upper bound) are permitted. We show that all near-optimal solutions to this problem can be enumerated in polynomial time, which might be of independent interest.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 560.4KB, Terms of use)
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- Publisher copy:
- 10.4230/LIPIcs.STACS.2019.48
Authors
- Publisher:
- Schloss Dagstuhl - Leibniz-Zentrum für Informatik
- Host title:
- 36th International Symposium on Theoretical Aspects of Computer Science
- Journal:
- 36th International Symposium on Theoretical Aspects of Computer Science More from this journal
- Volume:
- 48
- Pages:
- 48:1–48:15
- Publication date:
- 2019-03-12
- Acceptance date:
- 2018-12-20
- Event location:
- Berlin, Germany
- DOI:
- EISSN:
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1868-8969
- Keywords:
- Pubs id:
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pubs:955992
- UUID:
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uuid:e28ed1aa-2ade-46e3-8e67-181c205c2689
- Local pid:
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pubs:955992
- Source identifiers:
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955992
- Deposit date:
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2019-01-03
Terms of use
- Copyright holder:
- Matl et al
- Copyright date:
- 2019
- Notes:
- © Gregor Matl and Stanislav Živný. This item was presented at STACS 2019 and is licensed under Creative Commons License CC-BY
- Licence:
- CC Attribution (CC BY)
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