Constraint satisfaction parameterized by solution size
Andrei A. Bulatov, D\'aniel Marx

TL;DR
This paper investigates the fixed-parameter tractability of constraint satisfaction problems (CSPs) based on solution size, providing a complete classification for certain classes and linking some problems to the open complexity of Biclique.
Contribution
It offers a complete characterization of fixed-parameter tractability for CSPs with size constraints and explores their complexity in relation to well-known problems like Independent Set and Biclique.
Findings
Complete classification for CSPs with size constraints under certain conditions
Identification of W[1]-hardness for many CSP variants
Connection of some CSP problems to the open complexity of Biclique
Abstract
In the constraint satisfaction problem (CSP) corresponding to a constraint language (i.e., a set of relations) , the goal is to find an assignment of values to variables so that a given set of constraints specified by relations from is satisfied. The complexity of this problem has received substantial amount of attention in the past decade. In this paper we study the fixed-parameter tractability of constraint satisfaction problems parameterized by the size of the solution in the following sense: one of the possible values, say 0, is "free," and the number of variables allowed to take other, "expensive," values is restricted. A size constraint requires that exactly variables take nonzero values. We also study a more refined version of this restriction: a global cardinality constraint prescribes how many variables have to be assigned each particular value. We study…
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Taxonomy
TopicsAdvanced Graph Theory Research · Constraint Satisfaction and Optimization · semigroups and automata theory
