Parameterized graph connectivity and polynomial-time sub-linear-space short reductions (preliminary report)
Parameterized graph connectivity and polynomial-time sub-linear-space short reductions (preliminary report)
复制标题
参数化图连通性和多项式时间子线性空间短约简(初步报告)
DOI:
10.1007/978-3-319-67089-8_13
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发表时间:
2017
期刊:
影响因子:
--
通讯作者:
Tomoyuki Yamakami
中科院分区:
文献类型:
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作者:
Tomoyuki Yamakami;Tomoyuki Yamakami;Tomoyuki Yamakami;Tomoyuki Yamakami;Tomoyuki Yamakami
We are focused on the solvability/insolvability of the directeds-tconnectivity problem (DSTCON) parameterized by suitable size parametersm(x) on multi-tape deterministic Turing machines working on instancesxto DSTCON by consuming simultaneously polynomial time and sub-linear space, where the informal term “sub-linear” refers to a function of the formon instancesxfor a certain absolute constantand a certain polylogarithmic function. As natural size parameters, we take the numbersof vertices and of edgesof a graph cited inx. Parameterized problems solvable simultaneously in polynomial time using sub-linear space form a complexity classand it is unknown whetherparameterized bybelongs to. Toward this open question, we wish to investigate the relative complexity ofand its natural variants and classify them according to a restricted form of many-one and Turing reductions, known as “short reductions,” which preserve the polynomial-time sub-linear-space complexity. As variants of, we consider the breadth-first search problem, the minimal path problem, and the topological sorting problem. Certain restricted forms of them fall into. We also consider a stronger version of “sub-linear,” called “hypo-linear.” Additionally, we refer to a relationship to a practical working hypothesis known as the linear space hypothesis.