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https://doi.org/10.1109/sfcs.2...
Article . 2003 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2019
License: arXiv Non-Exclusive Distribution
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Conference object . 2023
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Article . 2019
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Dynamic planar convex hull

Authors: Jacob, Riko; Brodal, Gerth;

Dynamic planar convex hull

Abstract

In this article, we determine the amortized computational complexity of the planar dynamic convex hull problem by querying. We present a data structure that maintains a set of n points in the plane under the insertion and deletion of points in amortized O(log n) time per operation. The space usage of the data structure is O(n). The data structure supports extreme point queries in a given direction, tangent queries through a given point, and queries for the neighboring points on the convex hull in O(log n) time. The extreme point queries can be used to decide whether or not a given line intersects the convex hull, and the tangent queries to determine whether a given point is inside the convex hull. We give a lower bound on the amortized asymptotic time complexity that matches the performance of this data structure.

Country
Denmark
Related Organizations
Keywords

Computational Geometry (cs.CG), FOS: Computer and information sciences, Data structures, Planar dynamic convex hull, Extreme point queries, Asymptotic time complexity, Computational Complexity (cs.CC), E.1; F.2.2, 004, Amortized computational complexity, Computer Science - Computational Complexity, Computer Science - Data Structures and Algorithms, Computer Science - Computational Geometry, Data Structures and Algorithms (cs.DS), E.1, F.2.2

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
63
Top 10%
Top 10%
Top 10%
Green