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Intersection and Decomposition Algorithms for Planar Arrangements - Pankaj K. Agarwal

Intersection and Decomposition Algorithms for Planar Arrangements

Buch | Softcover
296 Seiten
2011
Cambridge University Press (Verlag)
978-0-521-16847-2 (ISBN)
CHF 64,55 inkl. MwSt
Several geometric problems can be formulated in terms of the arrangements of a collection of curves in a plane, making this one of the most widely studied topics in computational geometry. This book, first published in 1991, presents a study of problems related to arrangements of lines or curves in the plane.
Several geometric problems can be formulated in terms of the arrangement of a collection of curves in a plane, which has made this one of the most widely studied topics in computational geometry. This book, first published in 1991, presents a study of various problems related to arrangements of lines, segments, or curves in the plane. The first problem is a proof of almost tight bounds on the length of (n,s)-Davenport–Schinzel sequences, a technique for obtaining optimal bounds for numerous algorithmic problems. Then the intersection problem is treated. The final problem is improving the efficiency of partitioning algorithms, particularly those used to construct spanning trees with low stabbing numbers, a very versatile tool in solving geometric problems. A number of applications are also discussed. Researchers in computational and combinatorial geometry should find much to interest them in this book.

Introduction; 1. Davenport–Schinzel sequences; 2. Red-blue intersection detection algorithms; 3. Partitioning arrangements of lines; 4. Applications of the partitioning algorithm; 5. Spanning trees with low stabbing number; Bibliography; Index of symbols; Index of keywords.

Erscheint lt. Verlag 11.8.2011
Zusatzinfo Worked examples or Exercises
Verlagsort Cambridge
Sprache englisch
Maße 152 x 229 mm
Gewicht 440 g
Themenwelt Mathematik / Informatik Mathematik Graphentheorie
ISBN-10 0-521-16847-3 / 0521168473
ISBN-13 978-0-521-16847-2 / 9780521168472
Zustand Neuware
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