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Computational Complexity for Real Valued Graph Parameters

机译:实验性图参数的计算复杂性

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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:真实值的图表参数是一个函数/地图(可能加权)图形到实数R,使得两个同义(加权)图接收相同的值。典型的例子是k中的曲线图多项式f {g; x)∈r [x] IN IN NEREMENTINATE,分区函数和正域函数。谈话是基于[1,2]。我们解决以下问题:(i)如何选择计算模型?评估f(g; a)的复杂性作为Metafinite结构的最佳建模。在我们的讨论中,在Blum-Shub-Smale(BSS)的计算模型中以单位成本执行REAL R.

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