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Journal on Satisfiability, Boolean Modeling and Computation
Article . 2014 . Peer-reviewed
License: CC BY NC
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https://dx.doi.org/10.48550/ar...
Article . 2013
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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Article . 2013
Data sources: DBLP
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Article . 2014
Data sources: DBLP
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A Computational Trichotomy for Connectivity of Boolean Satisfiability

Authors: Konrad W. Schwerdtfeger;

A Computational Trichotomy for Connectivity of Boolean Satisfiability

Abstract

For Boolean satisfiability problems, the structure of the solution space is characterized by the solution graph, where the vertices are the solutions, and two solutions are connected iff they differ in exactly one variable. Motivated by research on heuristics and the satisfiability threshold, in 2006, Gopalan et al. studied connectivity properties of the solution graph and related complexity issues for constraint satisfaction problems [11]. They found dichotomies for the diameter of connected components and for the complexity of the st-connectivity question, and conjectured a trichotomy for the connectivity question. Their results could be improved based on findings by Makino et al. [15]. Building on this work, we here prove the trichotomy for the connectivity question. Also, we correct a minor mistake in [11], which leads to a slight shift of the boundaries towards the hard side.

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Keywords

FOS: Computer and information sciences, Computer Science - Computational Complexity, Computer Science - Logic in Computer Science, Computational Complexity (cs.CC), Logic in Computer Science (cs.LO)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
Green
gold