TY - GEN
T1 - Geometric spanner of segments
AU - Yang, Y.
AU - Zhu, Yongding
AU - Xu, Jinhui
AU - Katoh, Naoki
PY - 2007
Y1 - 2007
N2 - Geometric spanner is a fundamental structure in computational geometry and plays an important role in many geometric networks design applications. In this paper, we consider a generalization of the classical geometric spanner problem (called segment spanner): Given a set S of disjoint 2-D segments, find a spanning network G with minimum size so that for any pair of points in S, there exists a path in G with length no more than t times their Euclidean distance. Based on a number of interesting techniques (such as weakly dominating set, strongly dominating set, and interval cover), we present an efficient algorithm to construct the segment spanner. Our approach first identifies a set of Steiner points in S, then construct a point spanner for them. Our algorithm runs in O(|Q| + n2 log n) time, where Q is the set of Steiner points. We show that Q is an O(1)-approximation in terms of its size when S is relatively "well" separated by a constant. For arbitrary rectilinear segments under L1 distance, the approximation ratio improves to 2.
AB - Geometric spanner is a fundamental structure in computational geometry and plays an important role in many geometric networks design applications. In this paper, we consider a generalization of the classical geometric spanner problem (called segment spanner): Given a set S of disjoint 2-D segments, find a spanning network G with minimum size so that for any pair of points in S, there exists a path in G with length no more than t times their Euclidean distance. Based on a number of interesting techniques (such as weakly dominating set, strongly dominating set, and interval cover), we present an efficient algorithm to construct the segment spanner. Our approach first identifies a set of Steiner points in S, then construct a point spanner for them. Our algorithm runs in O(|Q| + n2 log n) time, where Q is the set of Steiner points. We show that Q is an O(1)-approximation in terms of its size when S is relatively "well" separated by a constant. For arbitrary rectilinear segments under L1 distance, the approximation ratio improves to 2.
UR - https://www.scopus.com/pages/publications/38149059968
U2 - 10.1007/978-3-540-77120-3_9
DO - 10.1007/978-3-540-77120-3_9
M3 - Conference contribution
AN - SCOPUS:38149059968
SN - 9783540771180
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 75
EP - 87
BT - Algorithms and Computation - 18th International Symposium, ISAAC 2007, Proceedings
PB - Springer Verlag
T2 - 18th International Symposium on Algorithms and Computation, ISAAC 2007
Y2 - 17 December 2007 through 19 December 2007
ER -