2022
DOI: 10.48550/arxiv.2201.13119
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XNLP-completeness for Parameterized Problems on Graphs with a Linear Structure

Abstract: In this paper, we show several parameterized problems to be complete for the class XNLP: parameterized problems that can be solved with a non-deterministic algorithm that uses f (k) log n space and f (k)n c time, with f a computable function, n the input size, k the parameter and c a constant. The problems include Maximum Regular Induced Subgraph and Max Cut parameterized by linear clique-width, Capacitated (Red-Blue) Dominating Set parameterized by pathwidth, Odd Cycle Transversal parameterized by a new param… Show more

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Cited by 1 publication
(1 citation statement)
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“…Our proof that UFLB is XNLP-hard for pathwidth is by reduction from Accepting Non-deterministic Checking Counter Machine from [11]. XNLP-completeness of CDS for pathwidth was shown in [10,Thm. 8].…”
Section: Undirected Flow With Lower Bounds ([23 Problem Nd37])mentioning
confidence: 96%
“…Our proof that UFLB is XNLP-hard for pathwidth is by reduction from Accepting Non-deterministic Checking Counter Machine from [11]. XNLP-completeness of CDS for pathwidth was shown in [10,Thm. 8].…”
Section: Undirected Flow With Lower Bounds ([23 Problem Nd37])mentioning
confidence: 96%