APPROXIMATING THE NEAREST NEIGHBOR INTERCHARGE DISTANCE FOR NON-UNIFORM-DEGREE EVOLUTIONARY TREES

Author:

HON WING-KAI1,LAM TAK-WAH1

Affiliation:

1. Department of Computer Science and Information Systems, The University of Hong Kong, Pokfulam Road, Hong Kong, China

Abstract

The nearest neighbor interchange (nni) distance is a classical metric for measuring the distance (dissimilarity) between evolutionary trees. It has been known that computing the nni distance is NP-complete. Existing approximation algorithms can attain an approximation ratio log n for unweighted trees and 4 log n for weighted trees; yet these algorithms are limited to degree-3 trees. This paper extends the study of nni distance to trees with non-uniform degrees. We formulate the necessary and sufficient conditions for nni transformation and devise more topology-sensitive approximation algorithms to handle trees with non-uniform degrees. The approximation ratios are respectively [Formula: see text] and [Formula: see text] for unweighted and weighted trees, where d ≥ 4 is the maximum degree of the input trees.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Science (miscellaneous)

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Non-shared Edges;Encyclopedia of Algorithms;2016

2. Non-shared Edges;Encyclopedia of Algorithms;2015

3. Non-shared Edges;Encyclopedia of Algorithms;2008

4. Non-shared edges and nearest neighbor interchanges revisited;Information Processing Letters;2004-08

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