Graph Fill-In, Elimination Ordering, Nested Dissection and Contraction Hierarchies
Ben Strasser () and
Dorothea Wagner ()
Additional contact information
Ben Strasser: Karlsruher Institut für Technologie, Institut für Theoretische Informatik
Dorothea Wagner: Karlsruher Institut für Technologie, Institut für Theoretische Informatik
A chapter in Gems of Combinatorial Optimization and Graph Algorithms, 2015, pp 69-82 from Springer
Abstract:
Abstract Graph fill-in, elimination ordering, separators, nested dissection orders and tree-width are only some examples of classical graph concepts that are related in manifold ways. This essay shows how contraction hierarchies, a successful approach to speed up Dijkstra’s algorithm for shortest paths, fits into this series of graph concepts. A theoretical consequence of this insight is a guarantee for the size of the search space required by Dijkstra’s algorithm combined with contraction hierarchies. On the other hand, the use of nested dissection leads to a very practicable variant of contraction hierarchies that can be applied in scenarios where edge lengths often change.
Keywords: Search Space; Chordal Graph; Auxiliary Data; Route Planning; Elimination Tree (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:sprchp:978-3-319-24971-1_7
Ordering information: This item can be ordered from
http://www.springer.com/9783319249711
DOI: 10.1007/978-3-319-24971-1_7
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().