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An Extension of Complexity Bounds and Dynamic Heuristics for Tree-Decompositions of CSP

机译:CSP树分解的复杂性边界和动态启发式的扩展

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摘要

This paper deals with methods exploiting tree-decomposition approaches for solving constraint networks. We consider here the practical efficiency of these approaches by defining five classes of variable orders more and more dynamic which guarantee time complexity bounds from O(exp(w + 1)) to O(exp(2(w + k))), with w the "tree-width" of a CSP and k a constant. Finally, we assess practically their relevance.
机译:本文探讨了利用树分解法求解约束网络的方法。我们在这里通过定义五类越来越多的可变阶来考虑这些方法的实际效率,这些五阶可变阶保证了从O(exp(w + 1))到O(exp(2(w + k)))的时间复杂度范围,其中w CSP的“树宽”和ka常数。最后,我们实际上评估了它们的相关性。

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