Download Algorithms and Computation: 9th International Symposium, by Bernard Chazelle (auth.), Kyung-Yong Chwa, Oscar H. Ibarra PDF

By Bernard Chazelle (auth.), Kyung-Yong Chwa, Oscar H. Ibarra (eds.)

ISBN-10: 3540493816

ISBN-13: 9783540493815

ISBN-10: 3540653856

ISBN-13: 9783540653851

This publication constitutes the refereed court cases of the ninth overseas Symposium on Algorithms and Computation, ISAAC'98, held in Taejon, Korea, in December 1998.
The forty seven revised complete papers offered have been rigorously reviewed and chosen from a complete of 102 submissions. The e-book is split in topical sections on computational geometry, complexity, graph drawing, on-line algorithms and scheduling, CAD/CAM and pictures, graph algorithms, randomized algorithms, combinatorial difficulties, computational biology, approximation algorithms, and parallel and allotted algorithms.

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Extra info for Algorithms and Computation: 9th International Symposium, ISAAC’98 Taejon, Korea, December 14–16, 1998 Proceedings

Sample text

Similarly we define horizontal and vertical cuts of a source point. Assuming the general position of rectangles and source points, each cut of a rectangle B is partitioned into three parts, called sub-cuts, by B: Suppose that C is a horizontal cut of B. One sub-cut is the same as an edge of B and it is called the middle sub-cut of C. The other two sub-cuts lie outside of B and they are called the left sub-cut, right sub-cut of C, respectively. In Figure 2 (b), Cm is the middle sub-cut of a horizontal cut C.

Of Comp. Sci. kr Introduction Given a set B of obstacles and a set S of source points in the plane, the problem of finding a set of points subject to a certain objective function with respect to B and S is a basic problem in applications such as facility location problem [5]. Suppose that each source point s ∈ S has a positive weights w(s). The median problem is to find a point minimizing the following objective function w(s)d(s, t), D(t) = (1) s∈S and the center problem is to find a point minimizing E(t) = max w(s)d(s, t), s∈S (2) where d(s, t) is the length of an obstacle-avoiding shortest path between two points s and t.

One gets Ω(kn) = Ω(mn) crossings for line , Ω(n) for each i . The pattern can be repeated on n lines parallel to and sufficiently close to . This gives Ω(mn) crossings for each of the n lines. The sites and the obstacles can be perturbed to a general position without affecting the lower bound complexity. By treating the lines as edges on a polyhedron, and ‘raising vertical cylinders’ with the obstacles as bases, we can get the Ω(mn2 ) bound for a polyhedron. Facility Location on Terrains 25 Using standard arguments, and the fact that FVD(S) has maximum total complexity O(mn2 ), we obtain the following.

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