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Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki, 2018, Volume 58, Number 6, Pages 883–889
DOI: https://doi.org/10.7868/S0044466918060030
(Mi zvmmf10701)
 

This article is cited in 5 scientific papers (total in 5 papers)

Complexity and approximation of finding the longest vector sum

V. V. Shenmaier

Sobolev Institute of Mathematics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia
Citations (5)
References:
Abstract: The problem under study is, given a finite set of vectors in a normed vector space, find a subset which maximizes the norm of the vector sum. For each $\ell_p$ norm, $p\in[1,\infty)$, the problem is proved to have an inapproximability bound in the class of polynomial-time algorithms. For an arbitrary normed space of dimension $O(\log n)$, a randomized polynomial-time approximation scheme is proposed.
Key words: vector sum, finding a vector subset, inapproximability bound, approximation scheme, normed space.
Funding agency Grant number
Russian Science Foundation 16-11-10041
Received: 14.11.2016
Revised: 11.10.2017
English version:
Computational Mathematics and Mathematical Physics, 2018, Volume 58, Issue 6, Pages 850–857
DOI: https://doi.org/10.1134/S0965542518060131
Bibliographic databases:
Document Type: Article
UDC: 519.87
Language: Russian
Citation: V. V. Shenmaier, “Complexity and approximation of finding the longest vector sum”, Zh. Vychisl. Mat. Mat. Fiz., 58:6 (2018), 883–889; Comput. Math. Math. Phys., 58:6 (2018), 850–857
Citation in format AMSBIB
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  • This publication is cited in the following 5 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Журнал вычислительной математики и математической физики Computational Mathematics and Mathematical Physics
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    Abstract page:190
    References:29
     
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