Ganian, R., Narayanaswamy, N.S., Ordyniak, S. orcid.org/0000-0003-1935-651X et al. (2 more authors) (2019) On the complexity landscape of connected f-factor problems. Algorithmica, 81 (6). pp. 2606-2632. ISSN 0178-4617
Abstract
Let G be an undirected simple graph having n vertices and let f:V(G)→{0,…,n−1} be a function. An f-factor of G is a spanning subgraph H such that dH(v)=f(v) for every vertex v∈V(G). The subgraph H is called a connected f-factor if, in addition, H is connected. A classical result of Tutte (Can J Math 6(1954):347–352, 1954) is the polynomial time algorithm to check whether a given graph has a specified f-factor. However, checking for the presence of a connectedf-factor is easily seen to generalize Hamiltonian Cycle and hence is NP-complete. In fact, the Connected f-Factor problem remains NP-complete even when we restrict f(v) to be at least nϵ for each vertex v and constant 0≤ϵ<1; on the other side of the spectrum of nontrivial lower bounds on f, the problem is known to be polynomial time solvable when f(v) is at least n3 for every vertex v. In this paper, we extend this line of work and obtain new complexity results based on restrictions on the function f. In particular, we show that when f(v) is restricted to be at least n(logn)c, the problem can be solved in quasi-polynomial time in general and in randomized polynomial time if c≤1. Furthermore, we show that when c>1, the problem is NP-intermediate.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Springer Science+Business Media, LLC, part of Springer Nature 2019. This is an author produced version of a paper subsequently published in Algorithmica. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Connected f-factors; Quasi-polynomial time algorithms; Randomized algorithms; NP-intermediate; Exponential time hypothesis |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 20 Mar 2019 11:28 |
Last Modified: | 30 Jan 2020 01:39 |
Status: | Published |
Publisher: | Springer |
Refereed: | Yes |
Identification Number: | 10.1007/s00453-019-00546-z |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:143876 |