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zbMATH Open
Article . 2024
Data sources: zbMATH Open
SIAM Journal on Computing
Article . 2024 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2021
License: CC 0
Data sources: Datacite
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Parameterized Complexity of Untangling Knots

Parameterized complexity of untangling knots
Authors: Legrand-Duchesne, Clément; Rai, Ashutosh; Tancer, Martin;

Parameterized Complexity of Untangling Knots

Abstract

Deciding whether a diagram of a knot can be untangled with a given number of moves (as a part of the input) is known to be NP-complete. In this paper we determine the parameterized complexity of this problem with respect to a natural parameter called defect. Roughly speaking, it measures the efficiency of the moves used in the shortest untangling sequence of Reidemeister moves. We show that the II- moves in a shortest untangling sequence can be essentially performed greedily. Using that, we show that this problem belongs to W[P] when parameterized by the defect. We also show that this problem is W[P]-hard by a reduction from Minimum axiom set.

Keywords

unknot recognition, Computational Geometry (cs.CG), FOS: Computer and information sciences, Geometric Topology (math.GT), Computational Complexity (cs.CC), Reidemeister moves, 004, Computer Science - Computational Complexity, Mathematics - Geometric Topology, W[P]-complete, FOS: Mathematics, Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.), Knots and links in the \(3\)-sphere, Computer Science - Computational Geometry, parameterized complexity, ddc: ddc:004

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
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