Approximate Search for the $$k$$th Order Distance in a System of Unit Square Points

For a given tuple $$P=(p_1,\dots,p_n)$$ (a set of points of the unit square) and a number $$1\le k\le \binom{n}{2}$$ , this paper considers the problem of finding the $$k$$ th ordinal distance between elements of $$P$$ in the $$\ell_s$$ -norm, where $$s\in\{1,\infty\}$$ . In other words, we consider the problem of finding a minimal $$d_k$$ such that $$\sum_{i<j}\mathbb I(\|p_i,p_j\|_s\le d_k)\ge k$$ , where $$\mathbb I$$ is the indicator function and $$s\in\{1,\infty\}$$ . In this paper, for any $$\epsilon>0$$ , we propose an $$\epsilon$$ -approximation algorithm with complexity $$O(n\log n\log(1/\epsilon))$$ for computing $$d_k$$ .

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Publication Details

Journal
Mathematical Notes
Published
2024-10-01
DOI
https://doi.org/10.1134/s0001434624090232
Primary Topic
Data Management and Algorithms
Type
article
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article

Approximate Search for the $$k$$th Order Distance in a System of Unit Square Points

D. S. Malyshev, K. V. Kaimakov
Mathematical Notes
Data Management and Algorithms
article

Approximate Search for the $$k$$th Order Distance in a System of Unit Square Points

D. S. Malyshev, K. V. Kaimakov
article en

Abstract

For a given tuple $$P=(p_1,\dots,p_n)$$ (a set of points of the unit square) and a number $$1\le k\le \binom{n}{2}$$ , this paper considers the problem of finding the $$k$$ th ordinal distance between elements of $$P$$ in the $$\ell_s$$ -norm, where $$s\in\{1,\infty\}$$ . In other words, we consider the problem of finding a minimal $$d_k$$ such that $$\sum_{i<j}\mathbb I(\|p_i,p_j\|_s\le d_k)\ge k$$ , where $$\mathbb I$$ is the indicator function and $$s\in\{1,\infty\}$$ . In this paper, for any $$\epsilon>0$$ , we propose an $$\epsilon$$ -approximation algorithm with complexity $$O(n\log n\log(1/\epsilon))$$ for computing $$d_k$$ .

Mathematical NotesVol. 116(3-4)
National Research University Higher School of Economics (RU), Moscow Institute of Physics and Technology (RU), Coleman University (US), Nizhny Novgorod State University of Engineering and Economics (RU), Nizhny Novgorod State Pedagogical University (RU)
Openalex Percentile: Top 73%
Data Management and Algorithms
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