de Berg, M., Cheong, O., van Kreveld, M., Overmars, M.
3rd ed. 2008, XII, 386 p. 370 illus.
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A broad overview of the major algorithms and data structures of the field
Motivated from applications
Covers concepts and techniquesto be presented in any course on computational geometry
Self-contained and illustrated with 370 figures
Additional online material available under http://www.cs.uu.nl/geobook/
Besides revisions to the second edition, new sections discussing Voronoi diagrams of line segments, farthest-point Voronoi diagrams, and realistic input models have been added
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.
Content Level »Research
Keywords »Area - CAM - Partition - Triangulation - algorithm - algorithms - computer science - data structure - data structures - database - information - linear optimization - programming - robot - robotics