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  1. Home > Articles & Issues >
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  3. Near―perfect non-cro ...
Conference paper

Near―perfect non-crossing harmonic matchings in randomly labeled points on a circle

József Balogh (1), Boris Pittel (1), Gelasio Salazar (2)
(1) Department of Mathematics [Colombus]
(2) Instituto de Fisica [Mexico]
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Imported on
May 10, 2017
Published on
December 31, 2004
Last modified on
March 31, 2025
Volume 0
DMTCS Proceedings vol. AD, International Conference on Analysis of Algorithms
Proceedings
DOI
10.46298/dmtcs.3366
License
https://about.hal.science/hal-authorisation-v1
Random Combinatorial Structures
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Near―perfect non-crossing harmonic matchings in randomly labeled points on a circle

József Balogh (1), Boris Pittel (1), Gelasio Salazar (2)
(1) Department of Mathematics [Colombus]
(2) Instituto de Fisica [Mexico]
Abstract
Consider a set $S$ of points in the plane in convex position, where each point has an integer label from $\{0,1,\ldots,n-1\}$. This naturally induces a labeling of the edges: each edge $(i,j)$ is assigned label $i+j$, modulo $n$. We propose the algorithms for finding large non―crossing $\textit{harmonic}$ matchings or paths, i. e. the matchings or paths in which no two edges have the same label. When the point labels are chosen uniformly at random, and independently of each other, our matching algorithm with high probability (w.h.p.) delivers a nearly―perfect matching, a matching of size $n/2 - O(n^{1/3}\ln n)$.
Keywords
  • [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]
  • [INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]
  • [MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]
  • [INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]
  • [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC]
  • average case behavior
  • algorithm
  • matching
  • convex position
  • Graceful
  • harmonious labeling
  • noncrossing
  • harmonic graph
Cited by

Source: OpenCitations

  • On Geometric Graphs on Point Sets in the Plane

    Lecture notes in computer science

    Authors : Jorge Urrutia ORCID

    Journal reference : Volume , 2021, pp. 1-17

    DOI : 10.1007/978-3-030-90048-9_1
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