מירב זהבי

אקדמי בכיר

Designing deterministic polynomial-space algorithms by color-coding multivariate polynomials

Gregory Gutin, Felix Reidl, Magnus Wahlström, Meirav 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(3.86k)-time (exponential-space O(3.41k)-time) deterministic algorithm for k-INTERNAL OUT-BRANCHING, improving upon the previously fastest exponential-space O(5.14k)-time algorithm for this problem. (The notation O hides polynomial factors.) We also design polynomial-space O((2e)k+o(k))-time (exponential-space O(4.32k)-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,αk)-splitters (α⩾1) and in particular (n,k)-perfect hash families can be enumerated one by one with polynomial delay using polynomial space.

שפת פרסום אנגלית
דפים 69-85
כתב עת Journal of Computer and System Sciences
כרך 95
סטטוס פרסום פורסם - 01.08.2018

Keywords

Deterministic
Fixed-parameter tractable
Kirchoff matrices
Pfaffians
Polynomial space

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science
Computer Networks and Communications
Computational Theory and Mathematics
Applied Mathematics
גישה למסמך
10.1016/j.jcss.2018.01.004
קבצים וקישורים אחרים
Link to publication in Scopus