The complexity of approximating bounded-degree Boolean #CSP

The complexity of approximating bounded-degree Boolean #CSP
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近似有界度布尔值的复杂性

DOI:
10.1016/j.ic.2011.12.007
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发表时间:
2012
影响因子:
1
通讯作者:
Dyer M
Dyer M
中科院分区:
计算机科学4区
文献类型:
--
作者:
Dyer M

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CSP实例的度是任何变量在约束范围中出现的最大次数。我们考虑了约束语言中包含两个一元常数关系{0}和{1}的有界度实例的布尔CSP的近似计数问题。当最大允许度足够大(至少6)时,我们得到了这个问题的复杂性的完整分类。如果约束语言中的每一个关系都是仿射的,则它在多项式时间内精确可解。如果每一个关系都可以表示为{0}、{1}和二元蕴涵的合取,则它等价于二部图中独立集的近似计数问题。否则,没有FPRAS,除非NP=RP。对于较低的度界,出现了其他情况,其中的复杂性与近似计数超图中的独立集的复杂性有关。
The degree of a CSP instance is the maximum number of times that any variable appears in the scopes of constraints. We consider the approximate counting problem for Boolean CSP with bounded-degree instances, for constraint languages containing the two unary constant relations {0} and {1}. When the maximum allowed degree is large enough (at least 6) we obtain a complete classification of the complexity of this problem. It is exactly solvable in polynomial time if every relation in the constraint language is affine. It is equivalent to the problem of approximately counting independent sets in bipartite graphs if every relation can be expressed as conjunctions of {0}, {1} and binary implication. Otherwise, there is no FPRAS unless NP=RP. For lower degree bounds, additional cases arise, where the complexity is related to the complexity of approximately counting independent sets in hypergraphs.
DOI: 10.1137/100811258
发表时间: 2010-03
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