DocumentCode :
2357032
Title :
Maximum agreement subtree in a set of evolutionary trees-metrics and efficient algorithms
Author :
Keselman, Dmitry ; Amir, Amihood
Author_Institution :
Georgia Inst. of Technol., Atlanta, GA, USA
fYear :
1994
fDate :
20-22 Nov 1994
Firstpage :
758
Lastpage :
769
Abstract :
In this paper we prove that the maximum homeomorphic agreement subtree problem is 𝒩𝒫-complete for three trees with unbounded degrees. We then show an approximation algorithm of time O(kn5) for choosing the species that are not in a maximum agreement subtree of a set of k trees. Our approximation is guaranteed to provide a set that is no more than 4 times the optimum solution. While the set of evolutionary trees may be large in practice, the trees usually have very small degrees, typically no larger than three. We develop a new method for finding a maximum agreement subtree of k trees, of which one has degree bounded by d. This new method enables us to find a maximum agreement subtree in time O(knd+1)
Keywords :
computational complexity; tree data structures; approximation algorithm; efficient algorithms; evolutionary trees; homeomorphic agreement subtree; maximum agreement subtree; metrics; Approximation algorithms; Classification tree analysis; Dynamic programming; Educational institutions; Polynomials; Tree graphs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Foundations of Computer Science, 1994 Proceedings., 35th Annual Symposium on
Conference_Location :
Santa Fe, NM
Print_ISBN :
0-8186-6580-7
Type :
conf
DOI :
10.1109/SFCS.1994.365717
Filename :
365717
Link To Document :
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