Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Cieliebak, Mark | - |
dc.contributor.author | Eidenbenz, Stephan | - |
dc.contributor.author | Pagourtzis, Aris T. | - |
dc.contributor.author | Schlude, Konrad | - |
dc.date.accessioned | 2020-01-09T11:56:08Z | - |
dc.date.available | 2020-01-09T11:56:08Z | - |
dc.date.issued | 2008-09 | - |
dc.identifier.issn | 1236-6064 | de_CH |
dc.identifier.uri | https://dl.acm.org/doi/10.5555/1737763.1737764 | de_CH |
dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/19064 | - |
dc.description.abstract | The EQUAL SUM SUBSETS problem, where we are given a set of positive integers and we ask for two nonempty disjoint subsets such that their elements add up to the same total, is known to be NP-hard. In this paper we give (pseudo-)polynomial algorithms and/or (strong) NP-hardness proofs for several natural variations of EQUAL SUM SUBSETS. Among others we present (i) a framework for obtaining NP-hardness proofs and pseudopolynomial time algorithms for EQUAL SUM SUBSETS variations, which we apply to variants of the problem with additional selection restrictions, (ii) a proof of NP-hardness and a pseudo-polynomial time algorithm for the case where we ask for two subsets such that the ratio of their sums is some fixed rational r > 0, (iii) a pseudo-polynomial time algorithm for finding k subsets of equal sum, with k = O(1), and a proof of strong NP-hardness for the same problem with k = Ω(n), (iv) algorithms and hardness results for finding k equal sum subsets under the additional requirement that the subsets should be of equal cardinality. Our results are a step towards determining the dividing lines between polynomial time solvability, pseudo-polynomial time solvability, and strong NP-completeness of subset-sum related problems. | de_CH |
dc.language.iso | en | de_CH |
dc.publisher | Association for Computing Machinery | de_CH |
dc.relation.ispartof | Nordic Journal of Computing | de_CH |
dc.rights | Licence according to publishing contract | de_CH |
dc.subject | Equal Sum Subset | de_CH |
dc.subject.ddc | 004: Informatik | de_CH |
dc.title | On the complexity of variations of Equal Sum Subsets | de_CH |
dc.type | Beitrag in wissenschaftlicher Zeitschrift | de_CH |
dcterms.type | Text | de_CH |
zhaw.departement | School of Engineering | de_CH |
zhaw.funding.eu | No | de_CH |
zhaw.issue | 3 | de_CH |
zhaw.originated.zhaw | No | de_CH |
zhaw.pages.end | 172 | de_CH |
zhaw.pages.start | 151 | de_CH |
zhaw.publication.status | publishedVersion | de_CH |
zhaw.volume | 14 | de_CH |
zhaw.publication.review | Peer review (Publikation) | de_CH |
zhaw.webfeed | Natural Language Processing | de_CH |
zhaw.author.additional | No | de_CH |
Appears in collections: | Publikationen School of Engineering |
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Cieliebak, M., Eidenbenz, S., Pagourtzis, A. T., & Schlude, K. (2008). On the complexity of variations of Equal Sum Subsets. Nordic Journal of Computing, 14(3), 151–172. https://dl.acm.org/doi/10.5555/1737763.1737764
Cieliebak, M. et al. (2008) ‘On the complexity of variations of Equal Sum Subsets’, Nordic Journal of Computing, 14(3), pp. 151–172. Available at: https://dl.acm.org/doi/10.5555/1737763.1737764.
M. Cieliebak, S. Eidenbenz, A. T. Pagourtzis, and K. Schlude, “On the complexity of variations of Equal Sum Subsets,” Nordic Journal of Computing, vol. 14, no. 3, pp. 151–172, Sep. 2008, [Online]. Available: https://dl.acm.org/doi/10.5555/1737763.1737764
CIELIEBAK, Mark, Stephan EIDENBENZ, Aris T. PAGOURTZIS und Konrad SCHLUDE, 2008. On the complexity of variations of Equal Sum Subsets. Nordic Journal of Computing [online]. September 2008. Bd. 14, Nr. 3, S. 151–172. Verfügbar unter: https://dl.acm.org/doi/10.5555/1737763.1737764
Cieliebak, Mark, Stephan Eidenbenz, Aris T. Pagourtzis, and Konrad Schlude. 2008. “On the Complexity of Variations of Equal Sum Subsets.” Nordic Journal of Computing 14 (3): 151–72. https://dl.acm.org/doi/10.5555/1737763.1737764.
Cieliebak, Mark, et al. “On the Complexity of Variations of Equal Sum Subsets.” Nordic Journal of Computing, vol. 14, no. 3, Sept. 2008, pp. 151–72, https://dl.acm.org/doi/10.5555/1737763.1737764.
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