An Improved Exact Algorithm for Constructing a Maximum Consensus Tree from Rooted Triples

碩士 === 國立中正大學 === 資訊工程所 === 93 === The maximum consensus tree problem is to find a rooted binary tree that can satisfy the input triples as many as possible. In this thesis, we use a branch-and-bound algorithm with the persistent data structure to solve the maximum consensus tree problem. Using the...

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Bibliographic Details
Main Authors: Pei-Chun Tsai, 蔡佩君
Other Authors: Maw-Shang Chang
Format: Others
Language:en_US
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/49372232669428053043
Description
Summary:碩士 === 國立中正大學 === 資訊工程所 === 93 === The maximum consensus tree problem is to find a rooted binary tree that can satisfy the input triples as many as possible. In this thesis, we use a branch-and-bound algorithm with the persistent data structure to solve the maximum consensus tree problem. Using the persistent data structure, we can enhance the running time for branching and use less memory space to save each subproblem. Due to these two properties, the total running time is better, and we can deal with instances with more species.