An Efficient Randomized Algorithm for Higher-Order Abstract Voronoi Diagrams
Given a set of n sites in the plane, the order- k Voronoi diagram is a planar subdivision such that all points in a region share the same k nearest sites. The order- k Voronoi diagram arises for the k -nearest-neighbor problem, and there has been a lot of work for point sites in the Euclidean metric...
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| Veröffentlicht in: | Algorithmica Jg. 81; H. 6; S. 2317 - 2345 |
|---|---|
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| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
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Springer US
01.06.2019
Springer Nature B.V |
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| ISSN: | 0178-4617, 1432-0541 |
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| Abstract | Given a set of
n
sites in the plane, the order-
k
Voronoi diagram is a planar subdivision such that all points in a region share the same
k
nearest sites. The order-
k
Voronoi diagram arises for the
k
-nearest-neighbor problem, and there has been a lot of work for point sites in the Euclidean metric. In this paper, we study order-
k
Voronoi diagrams defined by an abstract bisecting curve system that satisfies several practical axioms, and thus our study covers many concrete order-
k
Voronoi diagrams. We propose a randomized incremental construction algorithm that runs in
O
(
k
(
n
-
k
)
log
2
n
+
n
log
3
n
)
steps, where
O
(
k
(
n
-
k
)
)
is the number of faces in the worst case. This result applies to disjoint line segments in the
L
p
norm, convex polygons of constant size, points in the Karlsruhe metric, and so on. In fact, a running time with a polylog factor to the number of faces was only achieved for point sites in the
L
1
or Euclidean metric before. |
|---|---|
| AbstractList | Given a set of n sites in the plane, the order-k Voronoi diagram is a planar subdivision such that all points in a region share the same k nearest sites. The order-k Voronoi diagram arises for the k-nearest-neighbor problem, and there has been a lot of work for point sites in the Euclidean metric. In this paper, we study order-k Voronoi diagrams defined by an abstract bisecting curve system that satisfies several practical axioms, and thus our study covers many concrete order-k Voronoi diagrams. We propose a randomized incremental construction algorithm that runs in O(k(n-k)log2n+nlog3n) steps, where O(k(n-k)) is the number of faces in the worst case. This result applies to disjoint line segments in the Lp norm, convex polygons of constant size, points in the Karlsruhe metric, and so on. In fact, a running time with a polylog factor to the number of faces was only achieved for point sites in the L1 or Euclidean metric before. Given a set of n sites in the plane, the order- k Voronoi diagram is a planar subdivision such that all points in a region share the same k nearest sites. The order- k Voronoi diagram arises for the k -nearest-neighbor problem, and there has been a lot of work for point sites in the Euclidean metric. In this paper, we study order- k Voronoi diagrams defined by an abstract bisecting curve system that satisfies several practical axioms, and thus our study covers many concrete order- k Voronoi diagrams. We propose a randomized incremental construction algorithm that runs in O ( k ( n - k ) log 2 n + n log 3 n ) steps, where O ( k ( n - k ) ) is the number of faces in the worst case. This result applies to disjoint line segments in the L p norm, convex polygons of constant size, points in the Karlsruhe metric, and so on. In fact, a running time with a polylog factor to the number of faces was only achieved for point sites in the L 1 or Euclidean metric before. |
| Author | Bohler, Cecilia Liu, Chih-Hung Klein, Rolf |
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| References | Klein, Langetepe, Nilforoushan (CR20) 2009; 42 Clarkson (CR14) 1987; 2 Klein, Mehlhorn, Meiser (CR21) 1993; 3 CR18 CR16 CR13 Clarkson, Shor (CR15) 1989; 4 Mehlhorn, Meiser, Rasch (CR24) 2001; 11 Bohler, Cheilaris, Klein, Liu, Papadopoulou, Zavershynskyi (CR3) 2015; 48 Bohler, Klein (CR4) 2014; 24 Lee (CR22) 1982; 31 Aurenhammer, Schwarzkopf (CR2) 1992; 2 Haussler, Welzl (CR17) 1987; 2 Boissonnat, Devillers, Teillaud (CR7) 1993; 9 Agarwal, de Berg, Matousek, Schwarzkopf (CR1) 1998; 27 Chan, Tsakalidis (CR9) 2016; 56 CR5 CR28 Klein (CR19) 1989 Papadopoulou, Zavershynskyi (CR27) 2016; 74 Chazelle, Edelsbrunner (CR11) 1987; 36 CR23 Tarjan, Van Wyk (CR29) 1988; 17 Bohler, Liu, Papadopoulou, Zavershynskyi (CR6) 2016; 59 Chan (CR8) 2000; 30 Papadopoulou (CR26) 2004; 40 Mulmuley (CR25) 1994 Chazelle (CR10) 1991; 6 Chazelle, Edelsbrunner, Guibas, Sharir, Snoeyink (CR12) 1993; 22 536_CR28 TM Chan (536_CR9) 2016; 56 KL Clarkson (536_CR14) 1987; 2 B Chazelle (536_CR12) 1993; 22 536_CR23 F Aurenhammer (536_CR2) 1992; 2 TM Chan (536_CR8) 2000; 30 B Chazelle (536_CR11) 1987; 36 B Chazelle (536_CR10) 1991; 6 R Klein (536_CR20) 2009; 42 D Haussler (536_CR17) 1987; 2 DT Lee (536_CR22) 1982; 31 RE Tarjan (536_CR29) 1988; 17 C Bohler (536_CR6) 2016; 59 K Mehlhorn (536_CR24) 2001; 11 536_CR18 C Bohler (536_CR4) 2014; 24 536_CR13 536_CR16 536_CR5 J-D Boissonnat (536_CR7) 1993; 9 K Mulmuley (536_CR25) 1994 R Klein (536_CR21) 1993; 3 R Klein (536_CR19) 1989 E Papadopoulou (536_CR27) 2016; 74 E Papadopoulou (536_CR26) 2004; 40 PK Agarwal (536_CR1) 1998; 27 C Bohler (536_CR3) 2015; 48 KL Clarkson (536_CR15) 1989; 4 |
| References_xml | – ident: CR18 – volume: 4 start-page: 387 year: 1989 end-page: 421 ident: CR15 article-title: Application of random sampling in computational geometry, II. publication-title: Discrete Comput. Geom. doi: 10.1007/BF02187740 – volume: 36 start-page: 1349 issue: 11 year: 1987 end-page: 1354 ident: CR11 article-title: An improved algorithm for constructing -th-order Voronoi diagrams publication-title: IEEE Trans. Comput. doi: 10.1109/TC.1987.5009474 – ident: CR16 – volume: 30 start-page: 561 issue: 2 year: 2000 end-page: 575 ident: CR8 article-title: Random sampling, halfspace range reporting, and construction of ( )-levels in three dimensions publication-title: SIAM J. Comput. doi: 10.1137/S0097539798349188 – volume: 17 start-page: 143 issue: 1 year: 1988 end-page: 178 ident: CR29 article-title: An -time algorithm for triangulating a simple polygon publication-title: SIAM J. 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Geom. doi: 10.1016/j.comgeo.2016.08.004 – ident: 536_CR5 – volume: 36 start-page: 1349 issue: 11 year: 1987 ident: 536_CR11 publication-title: IEEE Trans. Comput. doi: 10.1109/TC.1987.5009474 – volume: 2 start-page: 195 year: 1987 ident: 536_CR14 publication-title: Discrete Comput. Geom. doi: 10.1007/BF02187879 – ident: 536_CR23 doi: 10.1137/1.9781611973105.117 – volume: 31 start-page: 478 issue: 6 year: 1982 ident: 536_CR22 publication-title: IEEE Trans. Comput. – volume: 42 start-page: 885 issue: 9 year: 2009 ident: 536_CR20 publication-title: Comput. Geom. doi: 10.1016/j.comgeo.2009.03.002 – ident: 536_CR18 doi: 10.1007/3-540-50728-0_61 – ident: 536_CR28 doi: 10.1145/304893.304993 – volume: 9 start-page: 329 issue: 4 year: 1993 ident: 536_CR7 publication-title: Algorithmica doi: 10.1007/BF01228508 – volume: 6 start-page: 485 year: 1991 ident: 536_CR10 publication-title: Discrete Comput. Geom. doi: 10.1007/BF02574703 – ident: 536_CR16 doi: 10.1007/978-3-642-31155-0_6 – volume: 17 start-page: 143 issue: 1 year: 1988 ident: 536_CR29 publication-title: SIAM J. Comput. doi: 10.1137/0217010 – volume: 2 start-page: 363 issue: 4 year: 1992 ident: 536_CR2 publication-title: Int. J. Comput. Geom. Appl. doi: 10.1142/S0218195992000214 – volume: 11 start-page: 583 issue: 6 year: 2001 ident: 536_CR24 publication-title: Int. J. Comput. Geom. Appl. doi: 10.1142/S0218195901000663 – volume: 2 start-page: 127 year: 1987 ident: 536_CR17 publication-title: Discrete Comput. Geom. doi: 10.1007/BF02187876 – volume: 48 start-page: 539 issue: 8 year: 2015 ident: 536_CR3 publication-title: Comput. Geom. doi: 10.1016/j.comgeo.2015.04.008 – ident: 536_CR13 doi: 10.1145/323233.323264 – volume: 27 start-page: 654 issue: 3 year: 1998 ident: 536_CR1 publication-title: SIAM J. Comput. doi: 10.1137/S0097539795281840 – volume: 24 start-page: 347 issue: 4 year: 2014 ident: 536_CR4 publication-title: Int. J. Comput. Geom. Appl. doi: 10.1142/S0218195914600115 – volume: 22 start-page: 1286 issue: 6 year: 1993 ident: 536_CR12 publication-title: SIAM J. Comput. doi: 10.1137/0222077 – volume: 4 start-page: 387 year: 1989 ident: 536_CR15 publication-title: Discrete Comput. Geom. doi: 10.1007/BF02187740 |
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| Snippet | Given a set of
n
sites in the plane, the order-
k
Voronoi diagram is a planar subdivision such that all points in a region share the same
k
nearest sites. The... Given a set of n sites in the plane, the order-k Voronoi diagram is a planar subdivision such that all points in a region share the same k nearest sites. The... |
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| SubjectTerms | Algorithm Analysis and Problem Complexity Algorithms Axioms Computer Science Computer Systems Organization and Communication Networks Data Structures and Information Theory Mathematics of Computing Randomization Theory of Computation Voronoi graphs |
| Title | An Efficient Randomized Algorithm for Higher-Order Abstract Voronoi Diagrams |
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