The Complexity of Weighted Boolean #CSP

dc.creatorDyer, Martin
dc.creatorGoldberg, Leslie Ann
dc.creatorJerrum, Mark
dc.date2007-04-27
dc.date2008-06-19
dc.date.accessioned2026-07-07T12:44:27Z
dc.date.available2026-07-07T12:44:27Z
dc.descriptionThis paper gives a dichotomy theorem for the complexity of computing the partition function of an instance of a weighted Boolean constraint satisfaction problem. The problem is parameterised by a finite set F of non-negative functions that may be used to assign weights to the configurations (feasible solutions) of a problem instance. Classical constraint satisfaction problems correspond to the special case of 0,1-valued functions. We show that the partition function, i.e. the sum of the weights of all configurations, can be computed in polynomial time if either (1) every function in F is of ``product type'', or (2) every function in F is ``pure affine''. For every other fixed set F, computing the partition function is FP^{#P}-complete.
dc.descriptionMinor revision
dc.identifierhttps://arxiv.org/abs/0704.3683
dc.identifierhttp://arxiv.org/abs/0704.3683
dc.identifierSIAM J. Comput. 38(5), 1970-1986
dc.identifierdoi:10.1137/070690201
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/220776
dc.subjectComputational Complexity
dc.subjectCombinatorics
dc.subjectF.2.2; F.4.1; G.2.1
dc.titleThe Complexity of Weighted Boolean #CSP
dc.typetext

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