1994
DOI: 10.1006/jagm.1994.1040
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Dynamic Point Location in General Subdivisions

Abstract: We prove that the dilation of an m X n toroidal mesh in an m~vertex path equals 2min{m,n}, if m:f:. n and 2n -1, if m = n.

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Cited by 39 publications
(48 citation statements)
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“…The space saving technique, is influenced from the work of Baumgarten et al [4], that present a linear space implementation for dynamic point location in general subdivisions. Intuitively, we save space by inserting the segments of S into a large fan-out interval tree, where only a fraction of the segments is also inserted into a segment tree.…”
Section: How To Use Only Linear Spacementioning
confidence: 99%
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“…The space saving technique, is influenced from the work of Baumgarten et al [4], that present a linear space implementation for dynamic point location in general subdivisions. Intuitively, we save space by inserting the segments of S into a large fan-out interval tree, where only a fraction of the segments is also inserted into a segment tree.…”
Section: How To Use Only Linear Spacementioning
confidence: 99%
“…A similar generalization has been made by Mortensen [17]. Finally, we reduce the space to linear, using a technique of Baumgarten et al [4], in which we store all the segments in an interval tree, where only a carefully chosen subset of the segments is stored in a segment tree.…”
Section: Introductionmentioning
confidence: 99%
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“…In the dynamic version of this problem, updates manipulate the geometry of the subdivision. Preparata and Tamassia [26] give an algorithm that runs in time O(log 2 n) per operation; this was improved to query time O(log n) by Baumgarten, Jung, and Mehlhorn [5]. The lower bound for this problem in [19] applies only to algorithms returning the name of the region containing the queried point.…”
Section: Dynamic Graph Algorithmsmentioning
confidence: 99%
“…We also present bounds for planar point location in monotone subdivisions [5,26], reachability in upward planar digraphs [28], and incremental parsing of balanced parentheses [11]. We show that these problems require time Ω(log n/ log log n) per operation .…”
mentioning
confidence: 99%