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Polynomial-Time Approximation Scheme for a Problem of Searching for the Largest Subset with the Constraint on Quadratic Variation

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Numerical Computations: Theory and Algorithms (NUMTA 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11974))

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Abstract

The paper is addressed to one strongly NP-hard problem of searching for the largest subset in the finite set of points in Euclidean space. A restriction is imposed on the searched subset: quadratic variation of its points with respect to the unknown centroid of this subset must not exceed a given value. We present the first polynomial-time approximation scheme for this problem.

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Acknowledgments

The study was supported by the Russian Foundation for Basic Research, projects 19-01-00308 and 18-31-00398, by the Russian Academy of Science (the Program of basic research), project 0314-2019-0015, and by the Russian Ministry of Science and Education under the 5-100 Excellence Programme.

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Correspondence to Vladimir Khandeev .

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Khandeev, V. (2020). Polynomial-Time Approximation Scheme for a Problem of Searching for the Largest Subset with the Constraint on Quadratic Variation. In: Sergeyev, Y., Kvasov, D. (eds) Numerical Computations: Theory and Algorithms. NUMTA 2019. Lecture Notes in Computer Science(), vol 11974. Springer, Cham. https://doi.org/10.1007/978-3-030-40616-5_36

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  • DOI: https://doi.org/10.1007/978-3-030-40616-5_36

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-030-40616-5

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