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Computational Complexity for Real Valued Graph Parameters

机译:实值图参数的计算复杂度

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A real-valued graph parameter is a function/ which maps (possibly weighted) graphs into the real number R such that two isomorphic (weighted) graphs receive the same value. Typical examples are graph polynomials F{G;X) ∈ R[X] in k indeterminates, partition functions and Holant functions. The talk is based [1, 2]. We address the following issues: (i) How to choose the computational model? the complexity of evaluating F(G; a) The weighted graphs are best modeled as metafinite structures. In our discussion computations over the reals R are performed in unit cost in the computation model of Blum-Shub-Smale (BSS).
机译:实值图参数是一个function /,它将(可能是加权的)图映射到实数R中,以便两个同构(加权的)图接收相同的值。典型示例为k个不确定的图形多项式F {G; X)∈R [X],分区函数和Holant函数。演讲基于[1、2]。我们解决以下问题:(i)如何选择计算模型?评估F(G; a)的复杂性最好将加权图建模为亚有限结构。在我们的讨论中,对实数R的计算是在Blum-Shub-Smale(BSS)的计算模型中以单位成本执行的。

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