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Enumerating homomorphisms

Authors: Andrei A. Bulatov; Víctor Dalmau; Martin Grohe; Dániel Marx;
Abstract

The homomorphism problem for relational structures is an abstract way of formulating constraint satisfaction problems (CSP) and various problems in database theory. The decision version of the homomorphism problem received a lot of attention in literature; in particular, the way the graph-theoretical structure of the variables and constraints influences the complexity of the problem is intensively studied. Here we study the problem of enumerating all the solutions with polynomial delay from a similar point of view. It turns out that the enumeration problem behaves very differently from the decision version. We give evidence that it is unlikely that a characterization result similar to the decision version can be obtained. Nevertheless, we show nontrivial cases where enumeration can be done with polynomial delay.

Country
Germany
Keywords

FOS: Computer and information sciences, Computer Science - Logic in Computer Science, [INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO], Enumeration, Computer Networks and Communications, Analysis of algorithms and problem complexity, Constraint satisfaction, Computational Complexity (cs.CC), Enumeration in graph theory, enumeration, Theoretical Computer Science, computational complexity, Applied Mathematics, constraint satisfaction, Combinatorics in computer science, Homomorphisms, homomorphisms, 004, Logic in Computer Science (cs.LO), Computational complexity, Computer Science - Computational Complexity, Computational Theory and Mathematics, [INFO.INFO-CC] Computer Science [cs]/Computational Complexity [cs.CC], ddc: ddc:004

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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!
16
Average
Top 10%
Top 10%
Green
hybrid