Faster algorithm to find anti-risk path between two nodes of an undirected graph
Jay Mahadeokar and
Sanjeev Saxena ()
Additional contact information
Jay Mahadeokar: Indian Institute of Technology
Sanjeev Saxena: Indian Institute of Technology
Journal of Combinatorial Optimization, 2014, vol. 27, issue 4, No 11, 798-807
Abstract:
Abstract For a weighted 2-edge connected graph G=(V,E), we are to find a “minimum risk path” from source s to destination t. This is a shortest s−t path under the assumption that at most one edge on the path may be blocked. The fact that the edge is blocked is known only when we reach a site adjacent to the blocked edge. If n and m are the number of nodes and edges of G, then we show that this problem can be solved in O(n 2) time using only simple data structures. This is an improvement over the previous O(mn+n 2logn) time algorithm. Moreover, with use of more complicated data structures like Fibonacci Heaps and transmuters the time can be further reduced to O(m+nlogn).
Keywords: Graph algorithms; Edge failure; Anti-risk path; Shortest path (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1007/s10878-012-9553-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:jcomop:v:27:y:2014:i:4:d:10.1007_s10878-012-9553-0
Ordering information: This journal article can be ordered from
https://www.springer.com/journal/10878
DOI: 10.1007/s10878-012-9553-0
Access Statistics for this article
Journal of Combinatorial Optimization is currently edited by Thai, My T.
More articles in Journal of Combinatorial Optimization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().