8,608 research outputs found
Dynamic Colored Orthogonal Range Searching
In the colored orthogonal range reporting problem, we want a data structure for storing n colored points so that given a query axis-aligned rectangle, we can report the distinct colors among the points inside the rectangle. This natural problem has been studied in a series of papers, but most prior work focused on the static case. In this paper, we give a dynamic data structure in the 2D case which can answer queries in O(log^{1+o(1)} n + klog^{1/2+o(1)}n) time, where k denotes the output size (the number of distinct colors in the query range), and which can support insertions and deletions in O(log^{2+o(1)}n) time (amortized) in the standard RAM model. This is the first fully dynamic structure with polylogarithmic update time whose query cost per color reported is sublogarithmic (near ?{log n}). We also give an alternative data structure with O(log^{1+o(1)} n + klog^{3/4+o(1)}n) query time and O(log^{3/2+o(1)}n) update time (amortized). We also mention extensions to higher constant dimensions
I/O-Efficient Dynamic Planar Range Skyline Queries
We present the first fully dynamic worst case I/O-efficient data structures
that support planar orthogonal \textit{3-sided range skyline reporting queries}
in \bigO (\log_{2B^\epsilon} n + \frac{t}{B^{1-\epsilon}}) I/Os and updates
in \bigO (\log_{2B^\epsilon} n) I/Os, using \bigO
(\frac{n}{B^{1-\epsilon}}) blocks of space, for input planar points,
reported points, and parameter . We obtain the result
by extending Sundar's priority queues with attrition to support the operations
\textsc{DeleteMin} and \textsc{CatenateAndAttrite} in \bigO (1) worst case
I/Os, and in \bigO(1/B) amortized I/Os given that a constant number of blocks
is already loaded in main memory. Finally, we show that any pointer-based
static data structure that supports \textit{dominated maxima reporting
queries}, namely the difficult special case of 4-sided skyline queries, in
\bigO(\log^{\bigO(1)}n +t) worst case time must occupy space, by adapting a similar lower bounding argument for
planar 4-sided range reporting queries.Comment: Submitted to SODA 201
Dynamic Orthogonal Range Searching on the RAM, Revisited
We study a longstanding problem in computational geometry: 2-d dynamic orthogonal range reporting. We present a new data structure achieving O(log n / log log n + k) optimal query time and O(log^{2/3+o(1)}n) update time (amortized) in the word RAM model, where n is the number of data points and k is the output size. This is the first improvement in over 10 years of Mortensen\u27s previous result [SIAM J. Comput., 2006], which has O(log^{7/8+epsilon}n) update time for an arbitrarily small constant epsilon.
In the case of 3-sided queries, our update time reduces to O(log^{1/2+epsilon}n), improving Wilkinson\u27s previous bound [ESA 2014] of O(log^{2/3+epsilon}n)
Full-fledged Real-Time Indexing for Constant Size Alphabets
In this paper we describe a data structure that supports pattern matching
queries on a dynamically arriving text over an alphabet ofconstant size. Each
new symbol can be prepended to in O(1) worst-case time. At any moment, we
can report all occurrences of a pattern in the current text in
time, where is the length of and is the number of occurrences.
This resolves, under assumption of constant-size alphabet, a long-standing open
problem of existence of a real-time indexing method for string matching (see
\cite{AmirN08})
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