Title
Memory-Efficient Enumeration Of Constrained Spanning Trees
Keywords
Algorithms; Combinatorics; Constraints; Enumeration; Exhaustive search; Graphs; Optimization; Output-sensitive; Spanning trees
Abstract
Dozens of optimization problems involving constrained spanning trees have been proven to be NP-hard. In practice, this implies that they can only be solved by exhaustive search. We show that many corresponding enumeration problems, i.e., the systematic listing of all instances of a class of constrained trees, are solved efficiently in the following sense: their state spaces exhibit a sufficiently rich structure to enable a reverse search depth-first traversal that needs neither a stack nor markers. We present and implement algorithms for various classes of "fat" and "skinny" trees. © 1999 Published by Elsevier Science B.V. All rights reserved.
Publication Date
10-29-1999
Publication Title
Information Processing Letters
Volume
72
Issue
1-2
Number of Pages
47-53
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1016/s0020-0190(99)00117-9
Copyright Status
Unknown
Socpus ID
0347660815 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/0347660815
STARS Citation
Nievergelt, Jurg; Deo, Narsingh; and Marzetta, Ambros, "Memory-Efficient Enumeration Of Constrained Spanning Trees" (1999). Scopus Export 1990s. 4177.
https://stars.library.ucf.edu/scopus1990/4177