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A Fixed-Parameter Perspective on #BIS

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A Fixed-Parameter Perspective on #BIS. / Curticapean, Radu-Cristian; Dell, Holger; Fomin, Fedor; Goldberg, Leslie Ann; Lapinskas, John.

In: Algorithmica, Vol. 81, No. 10, 18.07.2019, p. 3844–3864.

Research output: Journal Article or Conference Article in JournalJournal articleResearchpeer-review

Harvard

Curticapean, R-C, Dell, H, Fomin, F, Goldberg, LA & Lapinskas, J 2019, 'A Fixed-Parameter Perspective on #BIS', Algorithmica, vol. 81, no. 10, pp. 3844–3864. https://doi.org/10.1007/s00453-019-00606-4

APA

Curticapean, R-C., Dell, H., Fomin, F., Goldberg, L. A., & Lapinskas, J. (2019). A Fixed-Parameter Perspective on #BIS. Algorithmica, 81(10), 3844–3864. https://doi.org/10.1007/s00453-019-00606-4

Vancouver

Author

Curticapean, Radu-Cristian ; Dell, Holger ; Fomin, Fedor ; Goldberg, Leslie Ann ; Lapinskas, John. / A Fixed-Parameter Perspective on #BIS. In: Algorithmica. 2019 ; Vol. 81, No. 10. pp. 3844–3864.

Bibtex

@article{83f210cefa0849998ffbc207482d4888,
title = "A Fixed-Parameter Perspective on #BIS",
abstract = "The problem of (approximately) counting the independent sets of a bipartite graph (#BIS) is the canonical approximate counting problem that is complete in the intermediate complexity class #RH\Pi_1. It is believed that #BIS does not have an efficient approximation algorithm but also that it is not NP-hard. We study the robustness of the intermediate complexity of #BIS by considering variants of the problem parameterised by the size of the independent set. We exhaustively map the complexity landscape for three problems, with respect to exact computation and approximation and with respect to conventional and parameterised complexity. The three problems are counting independent sets of a given size, counting independent sets with a given number of vertices in one vertex class and counting maximum independent sets amongst those with a given number of vertices in one vertex class. Among other things, we show that all of these problems are NP-hard to approximate within any polynomial ratio. (This is surprising because the corresponding problems without the size parameter are complete in #RH\Pi_1, and hence are not believed to be NP-hard.) We also show that the first problem is #W[1]-hard to solve exactly but admits an FPTRAS, whereas the other two are W[1]-hard to approximate even within any polynomial ratio. Finally, we show that, when restricted to graphs of bounded degree, all three problems have efficient exact fixed-parameter algorithms. ",
author = "Radu-Cristian Curticapean and Holger Dell and Fedor Fomin and Goldberg, {Leslie Ann} and John Lapinskas",
year = "2019",
month = jul,
day = "18",
doi = "10.1007/s00453-019-00606-4",
language = "English",
volume = "81",
pages = "3844–3864",
journal = "Algorithmica",
issn = "0178-4617",
publisher = "Springer New York LLC",
number = "10",

}

RIS

TY - JOUR

T1 - A Fixed-Parameter Perspective on #BIS

AU - Curticapean, Radu-Cristian

AU - Dell, Holger

AU - Fomin, Fedor

AU - Goldberg, Leslie Ann

AU - Lapinskas, John

PY - 2019/7/18

Y1 - 2019/7/18

N2 - The problem of (approximately) counting the independent sets of a bipartite graph (#BIS) is the canonical approximate counting problem that is complete in the intermediate complexity class #RH\Pi_1. It is believed that #BIS does not have an efficient approximation algorithm but also that it is not NP-hard. We study the robustness of the intermediate complexity of #BIS by considering variants of the problem parameterised by the size of the independent set. We exhaustively map the complexity landscape for three problems, with respect to exact computation and approximation and with respect to conventional and parameterised complexity. The three problems are counting independent sets of a given size, counting independent sets with a given number of vertices in one vertex class and counting maximum independent sets amongst those with a given number of vertices in one vertex class. Among other things, we show that all of these problems are NP-hard to approximate within any polynomial ratio. (This is surprising because the corresponding problems without the size parameter are complete in #RH\Pi_1, and hence are not believed to be NP-hard.) We also show that the first problem is #W[1]-hard to solve exactly but admits an FPTRAS, whereas the other two are W[1]-hard to approximate even within any polynomial ratio. Finally, we show that, when restricted to graphs of bounded degree, all three problems have efficient exact fixed-parameter algorithms.

AB - The problem of (approximately) counting the independent sets of a bipartite graph (#BIS) is the canonical approximate counting problem that is complete in the intermediate complexity class #RH\Pi_1. It is believed that #BIS does not have an efficient approximation algorithm but also that it is not NP-hard. We study the robustness of the intermediate complexity of #BIS by considering variants of the problem parameterised by the size of the independent set. We exhaustively map the complexity landscape for three problems, with respect to exact computation and approximation and with respect to conventional and parameterised complexity. The three problems are counting independent sets of a given size, counting independent sets with a given number of vertices in one vertex class and counting maximum independent sets amongst those with a given number of vertices in one vertex class. Among other things, we show that all of these problems are NP-hard to approximate within any polynomial ratio. (This is surprising because the corresponding problems without the size parameter are complete in #RH\Pi_1, and hence are not believed to be NP-hard.) We also show that the first problem is #W[1]-hard to solve exactly but admits an FPTRAS, whereas the other two are W[1]-hard to approximate even within any polynomial ratio. Finally, we show that, when restricted to graphs of bounded degree, all three problems have efficient exact fixed-parameter algorithms.

U2 - 10.1007/s00453-019-00606-4

DO - 10.1007/s00453-019-00606-4

M3 - Journal article

VL - 81

SP - 3844

EP - 3864

JO - Algorithmica

JF - Algorithmica

SN - 0178-4617

IS - 10

ER -

ID: 84443622