26
Views
1
CrossRef citations to date
0
Altmetric
Original Articles

Improved parallel algorithms for finding the most vital edge of a graph with respect to minimum spanning treeFootnote

Pages 129-136 | Received 04 Dec 1998, Published online: 20 Mar 2007
 

Abstract

Let Gbe a connected, undirected and weighted graph with nvertices and medges. A most vital edge of Gwith respect to minimum spanning tree is an edge whose removal from G results in the greatest weight-increase in the minimum spanning tree of the remaining graph. This paper presents a fast parallel algorithm that computes the most vital edge of G in time using processors on a CRCW PRAM and time using processors on an EREW PRAM respectively. It significantly improves the known results of time and O(m) processors on the CRCW PRAM [10,13], and of time and processors on the CREW PRAM [13], and time using processors and time using processors on the EREW PRAM, respectivel.

C.R. Categories:

Work partially supported by an Australian Research Council Grant and done during the author's visit at Abo Akademi University

[email protected]

Work partially supported by an Australian Research Council Grant and done during the author's visit at Abo Akademi University

[email protected]

Notes

Work partially supported by an Australian Research Council Grant and done during the author's visit at Abo Akademi University

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.