Given a graph G=(V,E) where V and E are a vertex and an edge set, respectively, specified with a subset VNT of vertices called a non-terminal set, the spanning tree with non-terminal set VNT is a connected and acyclic spanning subgraph of G that contains all the vertices of V where each vertex in a non-terminal set is not a leaf. The complexity of finding a spanning tree with non-terminal set VNT on general graphs where each edge has the weight of one is known to be NP-hard. In this paper, we show that if G is an interval graph then finding a spanning tree with a non-terminal set VNT of G is linearly-solvable when each edge has the weight of one.
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 Spanning Tree with Non-Terminal Set VNT on Interval Graphs" in IEICE TRANSACTIONS on Information,
vol. E101-D, no. 9, pp. 2235-2246, September 2018, doi: 10.1587/transinf.2018EDP7047.
Abstract: Given a graph G=(V,E) where V and E are a vertex and an edge set, respectively, specified with a subset VNT of vertices called a non-terminal set, the spanning tree with non-terminal set VNT is a connected and acyclic spanning subgraph of G that contains all the vertices of V where each vertex in a non-terminal set is not a leaf. The complexity of finding a spanning tree with non-terminal set VNT on general graphs where each edge has the weight of one is known to be NP-hard. In this paper, we show that if G is an interval graph then finding a spanning tree with a non-terminal set VNT of G is linearly-solvable when each edge has the weight of one.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.2018EDP7047/_p
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@ARTICLE{e101-d_9_2235,
author={Shin-ichi NAKAYAMA, Shigeru MASUYAMA, },
journal={IEICE TRANSACTIONS on Information},
title={A Linear-Time Algorithm for Finding a Spanning Tree with Non-Terminal Set VNT on Interval Graphs},
year={2018},
volume={E101-D},
number={9},
pages={2235-2246},
abstract={Given a graph G=(V,E) where V and E are a vertex and an edge set, respectively, specified with a subset VNT of vertices called a non-terminal set, the spanning tree with non-terminal set VNT is a connected and acyclic spanning subgraph of G that contains all the vertices of V where each vertex in a non-terminal set is not a leaf. The complexity of finding a spanning tree with non-terminal set VNT on general graphs where each edge has the weight of one is known to be NP-hard. In this paper, we show that if G is an interval graph then finding a spanning tree with a non-terminal set VNT of G is linearly-solvable when each edge has the weight of one.},
keywords={},
doi={10.1587/transinf.2018EDP7047},
ISSN={1745-1361},
month={September},}
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TY - JOUR
TI - A Linear-Time Algorithm for Finding a Spanning Tree with Non-Terminal Set VNT on Interval Graphs
T2 - IEICE TRANSACTIONS on Information
SP - 2235
EP - 2246
AU - Shin-ichi NAKAYAMA
AU - Shigeru MASUYAMA
PY - 2018
DO - 10.1587/transinf.2018EDP7047
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E101-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2018
AB - Given a graph G=(V,E) where V and E are a vertex and an edge set, respectively, specified with a subset VNT of vertices called a non-terminal set, the spanning tree with non-terminal set VNT is a connected and acyclic spanning subgraph of G that contains all the vertices of V where each vertex in a non-terminal set is not a leaf. The complexity of finding a spanning tree with non-terminal set VNT on general graphs where each edge has the weight of one is known to be NP-hard. In this paper, we show that if G is an interval graph then finding a spanning tree with a non-terminal set VNT of G is linearly-solvable when each edge has the weight of one.
ER -