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Title Geometric Decompositions and Networks - Approximation Bounds and Algorithms
Author/s Joachim Gudmundsson
Department/s Computer Science (Science Faculty)
Full-text Available as PDF
Defence date 2000-11-24
Defence time 10:15
Defence place E:1406
Opponent Professor Mark de Berg
Publication/Series Dissertation / Department of Computer Science, Lund University
Publishing year 2000
Volume 16
Pages 151
Document type Dissertation
Language English
Publisher Department of Computer Science, Lund University, Box 118, 221 00 Lund, Sweden,
Abstract English In this thesis we focus on four problems in computational geometry: In the first four chapters we consider the problem of covering an arbitrary polygon with simpler polygons, i.e., rectangles. We present several approximation algorithms for this problem, and also some lower bounds on the number of rectangles needed in a covering of a hole-free polygon and on the time-complexity for this and related problems.

Then, we consider a generalization of the well-known Euclidean traveling salesman problem (TSP), namely the TSP with neighborhoods problem. In the TSP with neighborhoods problem we are given a collection of polygonal regions, and we seek the shortest tour that visits each neighborhood at least once. We give approximation algorithms for the problem and also show a result on the hardness of the problem.

Next we turn our attention to the problem of finding a t-spanner of a complete geometric graph. The aim is to produce a sparse graph with a small number of edges and with low total weight, that is almost as "good" as a complete graph. With good we mean that for every pair of points in the graph there exists a path in the spanner graph that is at most t times longer than the distance between the two points. We present several approximation algorithms for this problem.

In the final chapter of the thesis we introduce the concept of higher-order Delaunay triangulations. We give an algorithm to compute which edges can be included in a higher-order Delaunay triangulation. We show that for 1-order Delaunay triangulations, most of the criteria we study can be optimized in O(n log n) time, for example, minimizing the number of local minima, the number of local extrema, the maximum angle, area triangle, and degree of any vertex.
Subject Technology and Engineering
Mathematics and Statistics
Keywords Systems engineering, computer technology, kontroll, system, Delaunay triangulation, Computational geometry, TSP with neighborhoods, geometric spanners, covering polygons, Computer science, numerical analysis, systems, control, numerisk analys, Datalogi, algebraisk topologi, algebraic topology, Geometry, Data- och systemvetenskap, Geometri
ISBN/ISSN/Other ISSN: 1650-1268
ISBN: 91-7874-098-3

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