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Kumar Ramaiyer

dblp:21/1384 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 1997
—ORCID · none

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

Theory of computation · 3

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
2 papers
Computational geometry · 66% Algorithms and data structures · 34%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational geometry
point location
0.011997
Methods for Achieving Fast Query Times in Point Location Data Structures · SODA 1997
Computational geometry › point location
dynamic point location
0.011994
Biased Finger Trees and Three-Dimensional Layers of Maxima (Preliminary Version) · SCG 1994
Algorithms and data structures › data structure design › search structures › search trees
finger search trees
0.011994
Biased Finger Trees and Three-Dimensional Layers of Maxima (Preliminary Version) · SCG 1994
Algorithms and data structures › data structure design › search structures
search trees
0.011994
Biased Finger Trees and Three-Dimensional Layers of Maxima (Preliminary Version) · SCG 1994
Computational geometry
geometric data structures
0.011997
Methods for Achieving Fast Query Times in Point Location Data Structures · SODA 1997

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

data structure design · 0.0biased search trees · 0.0
YearPublicationVenuePosition
1997 Methods for Achieving Fast Query Times in Point Location Data Structures
Michael T. Goodrich, Mark W. Orletsky, Kumar Ramaiyer
SODA3
1995 Topology B-Trees and Their Applications
Paul B. Callahan, Michael T. Goodrich, Kumar Ramaiyer
WADS3
1994 Biased Finger Trees and Three-Dimensional Layers of Maxima (Preliminary Version)
abstract
We present a method for maintaining biased search trees so as to support fast finger updates (i.e., updates in which one is given a pointer to the part of the tree being changed). We illustrate the power of such biased finger trees by showing how they can be used to derive an optimal O(nlogn) algorithm for the 3-dimensional layers-of-maxima problem and also obtain an improved method for dynamic point location.
Mikhail J. Atallah, Michael T. Goodrich, Kumar Ramaiyer
SCG3