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Computational Geometry: Algorithms and Applications

Computational Geometry: Algorithms and Applications

Computational Geometry: Algorithms and Applications
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Computational Geometry: Algorithms and Applications Hardback - 2000

by de Berg, Mark

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hardcover. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.
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Details

  • Title Computational Geometry: Algorithms and Applications
  • Author de Berg, Mark
  • Binding Hardback
  • Edition 2nd
  • Condition Used - Good
  • Pages 367
  • Volumes 1
  • Language ENG
  • Publisher Springer, Springer
  • Publication date February 18, 2000
  • Illustrated Yes
  • Bookseller's Inventory # 3540656200.G
  • ISBN 9783540656203 / 3540656200
  • Weight 1.85 lbs (0.84 kg)
  • Dimensions 9.76 x 7.81 x 1.14 in (24.79 x 19.84 x 2.90 cm)
  • Category Mathematics
  • Library of Congress Catalogue Number 99-89215
  • Dewey Decimal Code 516.002
  • Quantity available 1

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Reader reviews for Computational Geometry: Algorithms and Applications

From the publisher

This well-accepted introduction to computational geometry is a textbook for high-level undergraduate and low-level graduate courses. The focus is on algorithms and hence the book is well suited for students in computer science and engineering. Motivation is provided from the application areas: all solutions and techniques from computational geometry are related to particular applications in robotics, graphics, CAD/CAM, and geographic information systems. For students this motivation will be especially welcome. Modern insights in computational geometry are used to provide solutions that are both efficient and easy to understand and implement. All the basic techniques and topics from computational geometry, as well as several more advanced topics, are covered. The book is largely self-contained and can be used for self-study by anyone with a basic background in algorithms. In the second edition, besides revisions to the first edition, a number of new exercises have been added.

First line

Good solutions to algorithmic problems of geometric nature are mostly based on two ingredients.
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