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dc.identifier.uri http://dx.doi.org/10.15488/14882
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/15001
dc.contributor.author Haak, Anselm
dc.contributor.author Meier, Arne
dc.contributor.author Prakash, Om
dc.contributor.author Rao, B. V. Raghavendra
dc.date.accessioned 2023-10-06T05:24:40Z
dc.date.available 2023-10-06T05:24:40Z
dc.date.issued 2023
dc.identifier.citation Haak, A.; Meier, A.; Prakash, O.; Rao, B.V.R.: Parameterised Counting in Logspace. In: Algorithmica 85 (2023), S. 2923-2961. DOI: https://doi.org/10.1007/s00453-023-01114-2
dc.description.abstract Logarithmic space-bounded complexity classes such as L and NL play a central role in space-bounded computation. The study of counting versions of these complexity classes have lead to several interesting insights into the structure of computational problems such as computing the determinant and counting paths in directed acyclic graphs. Though parameterised complexity theory was initiated roughly three decades ago by Downey and Fellows, a satisfactory study of parameterised logarithmic space-bounded computation was developed only in the last decade by Elberfeld, Stockhusen and Tantau (IPEC 2013, Algorithmica 2015). In this paper, we introduce a new framework for parameterised counting in logspace, inspired by the parameterised space-bounded models developed by Elberfeld, Stockhusen and Tantau. They defined the operators paraW and paraβ for parameterised space complexity classes by allowing bounded nondeterminism with multiple-read and read-once access, respectively. Using these operators, they characterised the parameterised complexity of natural problems on graphs. In the spirit of the operators paraW and paraβ by Stockhusen and Tantau, we introduce variants based on tail-nondeterminism, paraW[1] and paraβtail. Then, we consider counting versions of all four operators and apply them to the class L. We obtain several natural complete problems for the resulting classes: counting of paths in digraphs, counting first-order models for formulas, and counting graph homomorphisms. Furthermore, we show that the complexity of a parameterised variant of the determinant function for (0, 1)-matrices is # paraβtailL-hard and can be written as the difference of two functions in # paraβtailL. These problems exhibit the richness of the introduced counting classes. Our results further indicate interesting structural characteristics of these classes. For example, we show that the closure of # paraβtailL under parameterised logspace parsimonious reductions coincides with # paraβL. In other words, in the setting of read-once access to nondeterministic bits, tail-nondeterminism coincides with unbounded nondeterminism modulo parameterised reductions. Initiating the study of closure properties of these parameterised logspace counting classes, we show that all introduced classes are closed under addition and multiplication, and those without tail-nondeterminism are closed under parameterised logspace parsimonious reductions. Finally, we want to emphasise the significance of this topic by providing a promising outlook highlighting several open problems and directions for further research. eng
dc.language.iso eng
dc.publisher New York, NY : Springer
dc.relation.ispartofseries Algorithmica 85 (2023)
dc.rights CC BY 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/4.0
dc.subject Counting complexity eng
dc.subject Logspace eng
dc.subject Parameterized complexity eng
dc.subject.ddc 510 | Mathematik
dc.subject.ddc 004 | Informatik
dc.title Parameterised Counting in Logspace eng
dc.type Article
dc.type Text
dc.relation.essn 1432-0541
dc.relation.issn 0178-4617
dc.relation.doi https://doi.org/10.1007/s00453-023-01114-2
dc.bibliographicCitation.volume 85
dc.bibliographicCitation.firstPage 2923
dc.bibliographicCitation.lastPage 2961
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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