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The Complexity of Rooted Phylogeny Problems

机译:根系系统发育问题的复杂性

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摘要

Several computational problems in phylogenetic reconstruction can beformulated as restrictions of the following general problem: given a formula inconjunctive normal form where the literals are rooted triples, is there arooted binary tree that satisfies the formula? If the formulas do not containdisjunctions, 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 todisjunctions of negated triples, Ng, Steel, and Wormald showed that the problemremains NP-complete. We systematically study the computational complexity ofthe problem for all such restrictions of the clauses in the input formula. Forcertain restricted disjunctions of triples we present an algorithm that hassub-quadratic running time and is asymptotically as fast as the fastest knownalgorithm for the rooted triple consistency problem. We also show that anyrestriction of the general rooted phylogeny problem that does not fall into ourtractable class is NP-complete, using known results about the complexity ofBoolean constraint satisfaction problems. Finally, we present a pebble gameargument that shows that the rooted triple consistency problem (and also allgeneralizations studied in this paper) cannot be solved by Datalog.
机译:系统发育重建中的一些计算问题可作为以下一般问题的限制来公式化:给定一个公式非合取范式,其中文字以三元组为根,是否存在一个根植满足该公式的二叉树?如果公式不包含析取,则该问题将成为著名的根源三重一致性问题,可以通过Aho,Sagiv,Szymanski和Ullman的算法在多项式时间内求解。如果公式中的条款仅限于否定三元组的分离,则Ng,Steel和Wormald表示问题仍然是NP-complete。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。对于三元组的确定有限析取,我们提出了一种算法,该算法具有次二次运行时间,并且与根源三元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,对不属于我们可解决的类别的一般有根系统发育问题的任何限制都是NP完全的。最后,我们提出了一个卵石游戏论证,该论据表明,根深蒂固的三重一致性问题(以及本文研究的通用化)不能由Datalog解决。

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