TY - GEN
T1 - On maintaining the width and diameter of a planar point-set online
AU - Janardan, Ravi
PY - 1991/1/1
Y1 - 1991/1/1
N2 - Efficient online algorithms are presented for maintaining the (almost-exact) width and diameter of a dynamic planar point-set, 5. Let n be the number of points currently in S, let W and D denote the width and diameter of S, respectively, and let α and β be positive, integer-valued parameters. The algorithm for the width problem uses O(αn) space, supports updates in O(αlog2 n) time, and reports in O(αlog2 n) time an approximation, Ŵ, to the width such that Ŵ/W ≤ √l + tan2 π/4α. The algorithm for the diameter problem uses O(βn) space, supports updates in O(βlogn) time, and reports in O(βn) time an approximation, D, to the diameter such that (formula presented). Thus, for instance, even for a as small as 5, Ŵ/W ≤ 1.01, and for β as small as 11, D/D ≥ .99. All bounds stated are worst-case. Both algorithms, but especially the one for the diameter problem, use well-understood data structures and should be simple to implement. The diameter result yields a fast implementation of the greedy heuristic for maximum-weight Euclidean matching and an efficient online algorithm to maintain approximate convex hulls in the plane.
AB - Efficient online algorithms are presented for maintaining the (almost-exact) width and diameter of a dynamic planar point-set, 5. Let n be the number of points currently in S, let W and D denote the width and diameter of S, respectively, and let α and β be positive, integer-valued parameters. The algorithm for the width problem uses O(αn) space, supports updates in O(αlog2 n) time, and reports in O(αlog2 n) time an approximation, Ŵ, to the width such that Ŵ/W ≤ √l + tan2 π/4α. The algorithm for the diameter problem uses O(βn) space, supports updates in O(βlogn) time, and reports in O(βn) time an approximation, D, to the diameter such that (formula presented). Thus, for instance, even for a as small as 5, Ŵ/W ≤ 1.01, and for β as small as 11, D/D ≥ .99. All bounds stated are worst-case. Both algorithms, but especially the one for the diameter problem, use well-understood data structures and should be simple to implement. The diameter result yields a fast implementation of the greedy heuristic for maximum-weight Euclidean matching and an efficient online algorithm to maintain approximate convex hulls in the plane.
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U2 - 10.1007/3-540-54945-5_57
DO - 10.1007/3-540-54945-5_57
M3 - Conference contribution
AN - SCOPUS:30244477460
SN - 9783540549451
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 137
EP - 149
BT - ISA 1991 Algorithms - 2nd International Symposium on Algorithms, Proceedings
A2 - Lee, R.C.T.
A2 - Hsu, Wen-Lian
PB - Springer- Verlag
T2 - 2nd Annual International Symposium on Algorithms, ISA 1991
Y2 - 16 December 1991 through 18 December 1991
ER -