Computational Geometry : Algorithms and Applications

De Berg, Mark; Cheong, Otfried; Van Kreveld, Marc; Overmars, Mark

ISBN 10: 3540779736 / ISBN 13: 9783540779735

Published by Springer, 2008

About this Item

May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.

Seller Inventory # 5579426-5

Bibliographic Details

• Title: Computational Geometry : Algorithms and Applications
• Publisher: Springer
• Publication Date: 2008
• Language: English
• ISBN 10: 3540779736
• ISBN 13: 9783540779735
• Binding: Hardcover
• Edition: 3rd Edition
• Condition: good

About this title

Synopsis

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.

Review

"An excellent introduction to the field is given here, including a general motivation and usage cases beyond simple graphics rendering or interaction." from the ACM Reviews by William Fahle, University of Texas at Dallas, USA