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M. Suk

dblp:125/2381 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1989
—ORCID · none

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

Systems, architecture and hardware · 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 · 62% Algorithms and data structures · 38%

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

TopicWeightPapersLastEvidence papers
Computational geometry
geometric search
0.011989
Parallel algorithms for geometric searching problems · SC 1989
Algorithms and data structures
parallel algorithms
0.011989
Parallel algorithms for geometric searching problems · SC 1989
Computational geometry › proximity problems
closest-point problem
0.011989
Parallel algorithms for geometric searching problems · SC 1989
Computational geometry
range searching
0.011989
Parallel algorithms for geometric searching problems · SC 1989

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

parallel divide-and-conquer · 0.0
YearPublicationVenuePosition
1989 Parallel algorithms for geometric searching problems
abstract
Computational Geometry is concerned with the design and analysis of computational algorithms which solve geometry problems. In this paper SIMD-MCC algorithms for solving geometric searching problems such as the point domination, the point maxima, the range searching, and the closest point problems are designed by using the parallel divide-and-conquer technique. The computational complexities of all these algorithms for N input points in the k-dimensional space are O(CkN0.5), where Ck = (20.5 + 1)k-2.
Seoung-Jun Oh, M. Suk
SC2