- Abstract:
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Valued constraint satisfaction problems (VCSPs) are discrete optimisation problems with a (Q ∪ {∞})-valued objective function given as a sum of fixed-arity functions. In Boolean surjective VCSPs, variables take on labels from D = {0, 1} and an optimal assignment is required to use both labels from D. Examples include the classical global Min-Cut problem in graphs and the Minimum Distance problem studied in coding theory. We establish a dichotomy theorem and thus give a complete complexity cla...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Accepted Manuscript
- Files:
-
-
(pdf, 485.7KB)
-
- Publisher copy:
- 10.1145/3282429
-
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- Publisher:
- Association for Computing Machinery Publisher's website
- Journal:
- ACM Transactions on Computation Theory Journal website
- Volume:
- 11
- Issue:
- 1
- Publication date:
- 2018-11-01
- Acceptance date:
- 2018-09-08
- DOI:
- EISSN:
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1942-3462
- ISSN:
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1942-3454
- Pubs id:
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pubs:915988
- URN:
-
uri:807f7d33-3488-438e-a571-bb2c7bd38b3c
- UUID:
-
uuid:807f7d33-3488-438e-a571-bb2c7bd38b3c
- Local pid:
- pubs:915988
- Copyright holder:
- Association for Computing Machinery
- Copyright date:
- 2018
- Notes:
- © 2018 Association for Computing Machinery. This is the accepted manuscript version of the article. The final version is available online from ACM Transactions on Computation Theory at: 10.1145/3282429
Journal article
The complexity of Boolean surjective general-valued CSPs
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