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The Complexity of Rooted Phylogeny Problems

机译:根系发生问题的复杂性

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Several computational problems in phylogenetic reconstruction can be formulated as restrictions of the following general problem: given a formula in conjunctive normal form where the atomic formulas are rooted triples, is there a rooted binary tree that satisfies the formula? If the formulas do not contain disjunctions and negations, the problem becomes the famous rooted triple consistency problem, which can be solved in polynomial time by an algorithm of Aho, Sagiv, Szymanski, and Ullman. If the clauses in the formulas are restricted to disjunctions of negated triples, Ng, Steel, and Wormald showed that the problem remains NP-complete. We systematically study the computational complexity of the problem for all such restrictions of the clauses in the input formula. For certain restricted disjunctions of triples we present an algorithm that has sub-quadratic running time and is asymptotically as fast as the fastest known algorithm for the rooted triple consistency problem. We also show that any restriction of the general rooted phylogeny problem that does not fall into our tractable class is NP-complete, using known results about the complexity of Boolean constraint satisfaction problems. Finally, we present a pebble game argument that shows that the rooted triple consistency problem (and also all generalizations studied in this paper) cannot be solved by Datalog.
机译:系统发育重建中的几个计算问题可以公式化为以下一般问题的限制:如果给定一个公式的合取范式,其中原子公式以三元组为根,那么是否存在一个满足该公式的有根二叉树?如果公式不包含析取和否定,则该问题将成为著名的根本三重一致性问题,可以通过Aho,Sagiv,Szymanski和Ullman算法在多项式时间内求解。如果公式中的子句仅限于否定三元组的析取,则Ng,Steel和Wormald表示问题仍然是NP完全的。对于输入公式中的所有此类限制条件,我们系统地研究了问题的计算复杂性。对于三元组的某些受限析取,我们提出了一种算法,该算法具有次二次运行时间,并且与根源三重一致性问题的最快已知算法一样渐近。我们还表明,使用关于布尔约束满足问题的复杂性的已知结果,对不属于我们的易处理类的一般有根系统发育问题的任何限制都是NP完全的。最后,我们提出一个卵石博弈论证,该论证表明根深蒂固的三重一致性问题(以及本文研究的所有概括)都不能由Datalog解决。

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