Paper by Erik D. Demaine

Reference:

Boris Aronov, Prosenjit Bose, Erik D. Demaine, Joachim Gudmundsson, John Iacono, Stefan Langerman, and Michiel Smid, “Data Structures for Halfplane Proximity Queries and Incremental Voronoi Diagrams”, Algorithmica, volume 80, number 11, 2018, pages 3316–3334.

BibTeX

@Article{DynamicVoronoi_Algorithmica,
  AUTHOR        = {Boris Aronov and Prosenjit Bose and Erik D. Demaine and
                   Joachim Gudmundsson and John Iacono and Stefan Langerman
                   and Michiel Smid},
  TITLE         = {Data Structures for Halfplane Proximity Queries and
                   Incremental Voronoi Diagrams},
  JOURNAL       = {Algorithmica},
  journalurl    = {https://www.springer.com/journal/453},
  VOLUME        = 80,
  NUMBER        = 11,
  YEAR          = 2018,
  PAGES         = {3316--3334},

  papers        = {DynamicVoronoi_LATIN2006; DynamicVoronoi_CGW2005},
  replaces      = {DynamicVoronoi_LATIN2006},
  length        = {17 pages},
  doi           = {https://dx.doi.org/10.1007/s00453-017-0389-y},
  dblp          = {https://dblp.org/rec/journals/algorithmica/AronovBDGILS18},
  comments      = {This paper is also available as
                   <A HREF="http://arXiv.org/abs/cs.CG/0512091">
                   arXiv:cs.CG/0512091</A> of the
                   <A HREF="http://arXiv.org/archive/cs/intro.html">
                   Computing Research Repository (CoRR)</A> and
                   from <A HREF="http://dx.doi.org/10.1007/s00453-017-0389-y">SpringerLink</A>.},
}

Abstract:

We consider preprocessing a set S of n points in convex position in the plane into a data structure supporting queries of the following form: given a point q and a directed line ℓ in the plane, report the point of S that is farthest from (or, alternatively, nearest to) the point q among all points to the left of line ℓ. We present two data structures for this problem. The first data structure uses O(n^1 + ε) space and preprocessing time, and answers queries in O(2^1/ε log n) time, for any 0 < ε < 1. The second data structure uses O(n log³ n) space and polynomial preprocessing time, and answers queries in O(log n) time. These are the first solutions to the problem with O(log n) query time and o(n²) space.

The second data structure uses a new representation of nearest- and farthest-point Voronoi diagrams of points in convex position. This representation supports the insertion of new points in clockwise order using only O(log n) amortized pointer changes, in addition to O(log n)-time point-location queries, even though every such update may make Θ(n) combinatorial changes to the Voronoi diagram. This data structure is the first demonstration that deterministically and incrementally constructed Voronoi diagrams can be maintained in o(n) amortized pointer changes per operation while keeping O(log n)-time point-location queries.

Comments:

This paper is also available as arXiv:cs.CG/0512091 of the Computing Research Repository (CoRR) and from SpringerLink.

Length:

The paper is 17 pages.

Availability:

The paper is available in PDF (400k).

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Related papers:

DynamicVoronoi_LATIN2006 (Data Structures for Halfplane Proximity Queries and Incremental Voronoi Diagrams)

DynamicVoronoi_CGW2005 (Data Structures for Halfplane Proximity Queries and Incremental Voronoi Diagrams)