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引用次数: 32
摘要
我们考虑对不密集的数据库类进行一阶查询的求值。无处密集类的概念是由Nesetril和Ossona de Mendez作为“稀疏”图类的形式化引入的,并推广了许多众所周知的图类,例如有界度类、有界树宽类或有界展开类。最近Grohe, Kreutzer和Siebertz已经证明,在任何密集的数据库类中,一阶句子都可以在伪线性时间内求值(伪线性时间意味着对于所有ε存在一个在时间O(n1+ε)中工作的算法,其中n是数据库的大小)。对于高阶的一阶查询,我们证明了在任意密集的数据库中,经过伪线性时间预处理后,它们的解集可以被恒延迟枚举。在相同的上下文中,我们还表明,经过伪线性时间预处理后,我们可以在常量时间内测试元组的输入是否是查询的解决方案。
Enumeration for FO Queries over Nowhere Dense Graphs
We consider the evaluation of first-order queries over classes of databases that are nowhere dense. The notion of nowhere dense classes was introduced by Nesetril and Ossona de Mendez as a formalization of classes of "sparse" graphs and generalizes many well-known classes of graphs, such as classes of bounded degree, bounded tree-width, or bounded expansion. It has recently been shown by Grohe, Kreutzer, and Siebertz that over nowhere dense classes of databases, first-order sentences can be evaluated in pseudo-linear time (pseudo-linear time means that for all ε there exists an algorithm working in time O(n1+ε), where n is the size of the database). For first-order queries of higher arities, we show that over any nowhere dense class of databases, the set of their solutions can be enumerated with constant delay after a pseudo-linear time preprocessing. In the same context, we also show that after a pseudo-linear time preprocessing we can, on input of a tuple, test in constant time whether it is a solution to the query.