Designing deterministic polynomial-space algorithms by color-coding multivariate polynomials
Designing deterministic polynomial-space algorithms by color-coding multivariate polynomials
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DOI:
10.1016/j.jcss.2018.01.004
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发表时间:
2017-06
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影响因子:
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通讯作者:
G. Gutin;F. Reidl;Magnus Wahlström;M. Zehavi
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文献类型:
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作者:
G. Gutin;F. Reidl;Magnus Wahlström;M. Zehavi
We introduce an enhancement of color coding to design deterministic polynomial-space parameterized algorithms. Our approach aims at reducing the number of random choices by exploiting the special structure of a solution. Using our approach, we derive polynomial-space O⁎(3.86 k)-time (exponential-space O⁎(3.41 k)-time) deterministic algorithm for k-Internal Out-Branching, improving upon the previously fastest exponential-space O⁎(5.14 k)-time algorithm for this problem.(The notation O⁎ hides polynomial factors.) We also design polynomial-space O⁎((2 e) k+ o (k))-time (exponential-space O⁎(4.32 k)-time) deterministic algorithms for k-Colorful Out-Branching on arc-colored digraphs and k-Colorful Perfect Matching on planar edge-colored graphs. In k-Colorful Out-Branching, given an arc-colored digraph D, decide whether D has an out-branching with arcs of at least k colors. k-Colorful Perfect Matching is defined similarly. To obtain our polynomial-space algorithms, we show that (n, k, α k)-splitters (α⩾ 1) and in particular (n, k)-perfect hash families can be enumerated one by one with polynomial delay using polynomial space.