Kaikoura tree theorems: computing the maximum agreement subtree
Information Processing Letters
Tree Contractions and Evolutionary Trees
SIAM Journal on Computing
Fast comparison of evolutionary trees
SODA '94 Proceedings of the fifth annual ACM-SIAM symposium on Discrete algorithms
An O(nlog n) Algorithm for the Maximum Agreement Subtree Problem for Binary Trees
SIAM Journal on Computing
ESA '99 Proceedings of the 7th Annual European Symposium on Algorithms
Calculation, Visualization, and Manipulation of MASTs (Maximum Agreement Subtrees)
CSB '04 Proceedings of the 2004 IEEE Computational Systems Bioinformatics Conference
Optimal evolutionary tree comparison by sparse dynamic programming
SFCS '94 Proceedings of the 35th Annual Symposium on Foundations of Computer Science
Maximum agreement subtree in a set of evolutionary trees-metrics and efficient algorithms
SFCS '94 Proceedings of the 35th Annual Symposium on Foundations of Computer Science
An O(nlog n)-time algorithm for the maximum constrained agreement subtree problem for binary trees
ISAAC'04 Proceedings of the 15th international conference on Algorithms and Computation
An O(n log n)-time algorithm for the maximum constrained agreement subtree problem for binary trees
Information Processing Letters
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We propose and study the Maximum Constrained Agreement Subtree (MCAST) problem, which is a variant of the classical Maximum Agreement Subtree (MAST) problem. Our problem allows users to apply their domain knowledge to control the construction of the agreement subtrees in order to get better results. We show that the MCAST problem can be reduced to the MAST problem efficiently and thus we have algorithms for MCAST with running times matching the fastest known algorithms for MAST.