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Self-Similar Sets as Satisfiable Boolean Expressions

机译:自相似集作为可满足的布尔表达式

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Recursive operations are common procedures in the fields of computational theory and fractal geometry. Recently, computational theory has paid much attention to fractal geometry. In this paper, the geometrical structure of a formal language class is studied in relation with its time-complexity. A typical NP-complete problem, kSAT, is discussed by visualizing its problem space. A strict connection is made between the self-similarity and the time-complexity of the languages by constructing adequate iterated function systems (IFSs). There exist IFS classes which generate whole satisfiable Boolean expressions embedded on a unit hyper-cube. The difference in time-complexity between 2SAT and 3SAT is connected to IFS classes which generate satisfiable Boolean expressions. That is, the class P complexity is related to what we call monotone IFS and the class NP or upper complexity does to more complex IFS. Our numerical results for the Hausdorff dimension of satisfiable Boolean expressions suggest the difference of IFS classes between 2 and 3SAT.
机译:递归运算是计算理论和分形几何领域中的常见过程。近来,计算理论已经非常关注分形几何。在本文中,研究了形式语言类的几何结构及其时间复杂性。通过可视化其问题空间,讨论了典型的NP完全问题kSAT。通过构建适当的迭代函数系统(IFS),在语言的自相似性和时间复杂性之间建立了严格的联系。存在一些IFS类,这些类生成嵌入在单元超立方体上的整个可满足的布尔表达式。 2SAT和3SAT之间的时间复杂度差异与IFS类有关,后者生成可满足布尔值的表达式。也就是说,P类复杂度与我们所谓的单调IFS有关,而NP类或更高复杂度与更复杂的IFS有关。我们对可满足的布尔表达式的Hausdorff维数的数值结果表明,2和3SAT之间的IFS类有所不同。

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