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1/2-Approximation polynomial-time algorithm for a problem of searching a subset Full article

Source 2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)
Compilation, 2017.
Output data Year: 2017, Pages: 8-12 Pages count : 5 DOI: 10.1109/sibircon.2017.8109827
Tags Approximation algorithm; Computational complexity; Data mining; Machine learning; Minimal sum of squared distances; Optimization problems; Subset with the largest cardinality
Authors Ageev Alexander 1 , Kel'manov Alexander 1,2 , Pyatkin Artem 2 , Khamidullin Sergey 1 , Shenmaier Vladimir 1
Affiliations
1 Sobolev Institute of Mathematics
2 Novosibirsk State University
Cite: Ageev A. , Kel'manov A. , Pyatkin A. , Khamidullin S. , Shenmaier V.
1/2-Approximation polynomial-time algorithm for a problem of searching a subset
In compilation 2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON). 2017. – C.8-12. DOI: 10.1109/sibircon.2017.8109827 WOS Scopus OpenAlex
Identifiers:
Web of science: WOS:000426816500003
Scopus: 2-s2.0-85040528319
OpenAlex: W2769788375
Citing:
DB Citing
Scopus 1
OpenAlex 1
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