Two linear time algorithms for MST on minor closed graph classes
Archivum Mathematicum (2004)
- Volume: 040, Issue: 3, page 315-320
- ISSN: 0044-8753
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topMareš, Martin. "Two linear time algorithms for MST on minor closed graph classes." Archivum Mathematicum 040.3 (2004): 315-320. <http://eudml.org/doc/249321>.
@article{Mareš2004,
abstract = {This article presents two simple deterministic algorithms for finding the Minimum Spanning Tree in $O(\vert V\vert +\vert E\vert )$ time for any non-trivial class of graphs closed on graph minors. This applies in particular to planar graphs and graphs of bounded genus. Both algorithms run on a pointer machine and they require no a priori knowledge of the structure of the class except for its density. Edge weights are only compared.},
author = {Mareš, Martin},
journal = {Archivum Mathematicum},
keywords = {minor closed graph classes; minimum spanning trees; minimum spanning tree; deterministic algorithms},
language = {eng},
number = {3},
pages = {315-320},
publisher = {Department of Mathematics, Faculty of Science of Masaryk University, Brno},
title = {Two linear time algorithms for MST on minor closed graph classes},
url = {http://eudml.org/doc/249321},
volume = {040},
year = {2004},
}
TY - JOUR
AU - Mareš, Martin
TI - Two linear time algorithms for MST on minor closed graph classes
JO - Archivum Mathematicum
PY - 2004
PB - Department of Mathematics, Faculty of Science of Masaryk University, Brno
VL - 040
IS - 3
SP - 315
EP - 320
AB - This article presents two simple deterministic algorithms for finding the Minimum Spanning Tree in $O(\vert V\vert +\vert E\vert )$ time for any non-trivial class of graphs closed on graph minors. This applies in particular to planar graphs and graphs of bounded genus. Both algorithms run on a pointer machine and they require no a priori knowledge of the structure of the class except for its density. Edge weights are only compared.
LA - eng
KW - minor closed graph classes; minimum spanning trees; minimum spanning tree; deterministic algorithms
UR - http://eudml.org/doc/249321
ER -
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