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http://arxiv.org/pdf/cs/010103...
Part of book or chapter of book
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Article
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https://doi.org/10.1007/3-540-...
Part of book or chapter of book . 1997 . Peer-reviewed
Data sources: Crossref
SIAM Journal on Computing
Article . 1998 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2001
License: arXiv Non-Exclusive Distribution
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Tree contractions and evolutionary trees

Authors: Ming-Yang Kao;

Tree contractions and evolutionary trees

Abstract

An evolutionary tree is a rooted tree where each internal vertex has at least two children and where the leaves are labeled with distinct symbols representing species. Evolutionary trees are useful for modeling the evolutionary history of species. An agreement subtree of two evolutionary trees is an evolutionary tree which is also a topological subtree of the two given trees. We give an algorithm to determine the largest possible number of leaves in any agreement subtree of two trees T_1 and T_2 with n leaves each. If the maximum degree d of these trees is bounded by a constant, the time complexity is O(n log^2(n)) and is within a log(n) factor of optimal. For general d, this algorithm runs in O(n d^2 log(d) log^2(n)) time or alternatively in O(n d sqrt(d) log^3(n)) time.

Related Organizations
Keywords

FOS: Computer and information sciences, J.3, evolutionary trees, Analysis of algorithms and problem complexity, Applications of graph theory, Trees, minimal condensed forms, Computational Engineering, Finance, and Science (cs.CE), computational biology, F.2.2; J.3, tree contractions, Graph algorithms (graph-theoretic aspects), Computer Science - Data Structures and Algorithms, agreement subtree, Data Structures and Algorithms (cs.DS), F.2.2, Computer Science - Computational Engineering, Finance, and Science, General biology and biomathematics

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
27
Average
Top 10%
Top 10%
Green
bronze