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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 Paperback - 2010

by Mark Berg

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Description

Springer Berlin Heidelberg, 2010. Paperback. New. 3rd reprint edition. 398 pages. 10.25x7.50x1.00 inches.
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Details

  • Title Computational Geometry: Algorithms and Applications
  • Author Mark Berg
  • Binding Paperback
  • Edition 3rd edition
  • Condition New
  • Pages 386
  • Volumes 1
  • Language ENG
  • Publisher Springer Berlin Heidelberg
  • Publication date 2010
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Table of Contents
  • Bookseller's Inventory # x-3642096816
  • ISBN 9783642096815 / 3642096816
  • Weight 1.65 lbs (0.75 kg)
  • Dimensions 9.5 x 7.6 x 0.9 in (24.13 x 19.30 x 2.29 cm)
  • Category Computers - General Information
  • Dewey Decimal Code 004.015
  • Quantity available 1

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Reader reviews for Computational Geometry: Algorithms and Applications

From the publisher

Computational geometry emerged from the ?eld of algorithms design and analysis in the late 1970s. It has grown into a recognized discipline with its own journals, conferences, and a large community of active researchers. The success of the ?eld as a research discipline can on the one hand be explained from the beauty of the problems studied and the solutions obtained, and, on the other hand, by the many application domains--computer graphics, geographic information systems (GIS), robotics, and others--in which geometric algorithms play a fundamental role. For many geometric problems the early algorithmic solutions were either slow or dif?cult to understand and implement. In recent years a number of new algorithmic techniques have been developed that improved and simpli?ed many of the previous approaches. In this textbook we have tried to make these modern algorithmic solutions accessible to a large audience. The book has been written as a textbook for a course in computational geometry, but it can also be used for self-study.
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