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On Backdoors To Tractable Constraint Languages
- Source :
- Principles and Practice of Constraint Programming, Principles and Practice of Constraint Programming, Sep 2014, Lyon, France. pp.224-239, ⟨10.1007/978-3-319-10428-7_18⟩, Lecture Notes in Computer Science ISBN: 9783319104270, CP
- Publication Year :
- 2014
- Publisher :
- arXiv, 2014.
-
Abstract
- In the context of CSPs, a strong backdoor is a subset of variables such that every complete assignment yields a residual instance guaranteed to have a specified property. If the property allows efficient solving, then a small strong backdoor provides a reasonable decomposition of the original instance into easy instances. An important challenge is the design of algorithms that can find quickly a small strong backdoor if one exists. We present a systematic study of the parameterized complexity of backdoor detection when the target property is a restricted type of constraint language defined by means of a family of polymorphisms. In particular, we show that under the weak assumption that the polymorphisms are idempotent, the problem is unlikely to be FPT when the parameter is either r (the constraint arity) or k (the size of the backdoor) unless P = NP or FPT = W[2]. When the parameter is k+r, however, we are able to identify large classes of languages for which the problem of finding a small backdoor is FPT.<br />Comment: 16 pages
- Subjects :
- Logique en informatique
Discrete mathematics
FOS: Computer and information sciences
Computer Science - Artificial Intelligence
Vertex cover
Parameterized complexity
Informatique et langage
Context (language use)
Intelligence artificielle
Arity
Computational Complexity (cs.CC)
Apprentissage
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Constraint (information theory)
Combinatorics
Computer Science - Computational Complexity
Artificial Intelligence (cs.AI)
CSP
Fixed-parameter tractability
Idempotence
Tractable languages
Constraint satisfaction problem
Mathematics
Backdoor
Subjects
Details
- ISBN :
- 978-3-319-10427-0
- ISBNs :
- 9783319104270
- Database :
- OpenAIRE
- Journal :
- Principles and Practice of Constraint Programming, Principles and Practice of Constraint Programming, Sep 2014, Lyon, France. pp.224-239, ⟨10.1007/978-3-319-10428-7_18⟩, Lecture Notes in Computer Science ISBN: 9783319104270, CP
- Accession number :
- edsair.doi.dedup.....cca94fdc242e9a0bcc347bafda4389fc
- Full Text :
- https://doi.org/10.48550/arxiv.1404.3675