Given a graph G=(V, E), where V and E are vertex and edge sets of G, and a subset VNT of vertices called a non-terminal set, the minimum spanning tree with a non-terminal set VNT, denoted by MSTNT, is a connected and acyclic spanning subgraph of G that contains all vertices of V with the minimum weight where each vertex in a non-terminal set is not a leaf. On general graphs, the problem of finding an MSTNT of G is NP-hard. We show that if G is an outerplanar graph then finding an MSTNT of G is linearly solvable with respect to the number of vertices.
Shin-ichi NAKAYAMA
Tokushima University
Shigeru MASUYAMA
Toyohashi University of Technology
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Shin-ichi NAKAYAMA, Shigeru MASUYAMA, "A Linear Time Algorithm for Finding a Minimum Spanning Tree with Non-Terminal Set VNT on Outerplanar Graphs" in IEICE TRANSACTIONS on Information,
vol. E100-D, no. 3, pp. 434-443, March 2017, doi: 10.1587/transinf.2016FCP0010.
Abstract: Given a graph G=(V, E), where V and E are vertex and edge sets of G, and a subset VNT of vertices called a non-terminal set, the minimum spanning tree with a non-terminal set VNT, denoted by MSTNT, is a connected and acyclic spanning subgraph of G that contains all vertices of V with the minimum weight where each vertex in a non-terminal set is not a leaf. On general graphs, the problem of finding an MSTNT of G is NP-hard. We show that if G is an outerplanar graph then finding an MSTNT of G is linearly solvable with respect to the number of vertices.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2016FCP0010/_p
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@ARTICLE{e100-d_3_434,
author={Shin-ichi NAKAYAMA, Shigeru MASUYAMA, },
journal={IEICE TRANSACTIONS on Information},
title={A Linear Time Algorithm for Finding a Minimum Spanning Tree with Non-Terminal Set VNT on Outerplanar Graphs},
year={2017},
volume={E100-D},
number={3},
pages={434-443},
abstract={Given a graph G=(V, E), where V and E are vertex and edge sets of G, and a subset VNT of vertices called a non-terminal set, the minimum spanning tree with a non-terminal set VNT, denoted by MSTNT, is a connected and acyclic spanning subgraph of G that contains all vertices of V with the minimum weight where each vertex in a non-terminal set is not a leaf. On general graphs, the problem of finding an MSTNT of G is NP-hard. We show that if G is an outerplanar graph then finding an MSTNT of G is linearly solvable with respect to the number of vertices.},
keywords={},
doi={10.1587/transinf.2016FCP0010},
ISSN={1745-1361},
month={March},}
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TY - JOUR
TI - A Linear Time Algorithm for Finding a Minimum Spanning Tree with Non-Terminal Set VNT on Outerplanar Graphs
T2 - IEICE TRANSACTIONS on Information
SP - 434
EP - 443
AU - Shin-ichi NAKAYAMA
AU - Shigeru MASUYAMA
PY - 2017
DO - 10.1587/transinf.2016FCP0010
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E100-D
IS - 3
JA - IEICE TRANSACTIONS on Information
Y1 - March 2017
AB - Given a graph G=(V, E), where V and E are vertex and edge sets of G, and a subset VNT of vertices called a non-terminal set, the minimum spanning tree with a non-terminal set VNT, denoted by MSTNT, is a connected and acyclic spanning subgraph of G that contains all vertices of V with the minimum weight where each vertex in a non-terminal set is not a leaf. On general graphs, the problem of finding an MSTNT of G is NP-hard. We show that if G is an outerplanar graph then finding an MSTNT of G is linearly solvable with respect to the number of vertices.
ER -