Relating Sublinear Space Computability Among Graph Connectivity and Related Problems

We investigate sublinear-space computability relation among the directed graph vertex connectivity problem and its related problems, where by “sublinear-space computability” we mean in this paper $$O(n^{1-\varepsilon })$$ -space and polynomial-time computability w.r.t. the number n of vertices. We d...

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Published inSOFSEM 2016: Theory and Practice of Computer Science pp. 17 - 28
Main Authors Imai, Tatsuya, Watanabe, Osamu
Format Book Chapter
LanguageEnglish
Japanese
Published Berlin, Heidelberg Springer Berlin Heidelberg 2016
SeriesLecture Notes in Computer Science
Subjects
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ISBN9783662491911
3662491915
ISSN0302-9743
1611-3349
DOI10.1007/978-3-662-49192-8_2

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Summary:We investigate sublinear-space computability relation among the directed graph vertex connectivity problem and its related problems, where by “sublinear-space computability” we mean in this paper $$O(n^{1-\varepsilon })$$ -space and polynomial-time computability w.r.t. the number n of vertices. We demonstrate algorithmic techniques to relate the sublinear-space computability of directed graph connectivity and undirected graph length bounded connectivity.
Bibliography:Original Abstract: We investigate sublinear-space computability relation among the directed graph vertex connectivity problem and its related problems, where by “sublinear-space computability” we mean in this paper \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$O(n^{1-\varepsilon })$$\end{document}-space and polynomial-time computability w.r.t. the number n of vertices. We demonstrate algorithmic techniques to relate the sublinear-space computability of directed graph connectivity and undirected graph length bounded connectivity.
ISBN:9783662491911
3662491915
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-662-49192-8_2