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Brielin C. Brown

dblp:142/9818 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2015
0000-0001-5569-5223ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1Theory of computation · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Theoretical computer science
1 paper
Computational geometry · 75% Algorithms and data structures · 25%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational geometry › triangulation › delaunay triangulation
constrained delaunay triangulation
0.212013
Fast segment insertion and incremental construction of constrained delaunay triangulations · SoCG 2013
Computational geometry
incremental construction
0.212013
Fast segment insertion and incremental construction of constrained delaunay triangulations · SoCG 2013
Computational geometry
mesh generation
0.212013
Fast segment insertion and incremental construction of constrained delaunay triangulations · SoCG 2013
Algorithms and data structures
randomized algorithms
0.212013
Fast segment insertion and incremental construction of constrained delaunay triangulations · SoCG 2013

Methods — techniques the papers use, named apart from their topics

randomized incremental construction · 0.2gift-wrapping · 0.2
YearPublicationVenuePosition
2015 Fast segment insertion and incremental construction of constrained Delaunay triangulations
Jonathan Richard Shewchuk, Brielin C. Brown
Comput. Geom.2
2013 Fast segment insertion and incremental construction of constrained delaunay triangulations
abstract
The most commonly implemented method of constructing a constrained Delaunay triangulation (CDT) in the plane is to first construct a Delaunay triangulation, then incrementally insert the input segments one by one. For typical implementations of segment insertion, this method has a Θ(kn2) worst-case running time, where n is the number of input vertices and k is the number of input segments. We give a randomized algorithm for inserting a segment into a CDT in expected time linear in the number of edges the segment crosses, and demonstrate with a performance comparison that it is faster than gift-wrapping for segments that cross many edges. A result of Agarwal, Arge, and Yi implies that randomized incremental construction of CDTs by our segment insertion algorithm takes expected O(n log n + n log2 k) time. We show that this bound is tight by deriving a matching lower bound. Although there are CDT construction algorithms guaranteed to run in O(n log n) time, incremental CDT construction is easier to program and competitive in practice. Moreover, the ability to incrementally update a CDT by inserting a segment is useful in itself.
Jonathan Richard Shewchuk, Brielin C. Brown
SoCG2