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Book synopsis

The field of multidimensional data structures is large and growing very quickly. Here, for the first time, is a thorough treatment of multidimensional point data, object and image-based representations, intervals and small rectangles, and high-dimensional datasets. The book includes a thorough introduction; a comprehensive survey to spatial and multidimensional data structures and algorithms; and implementation details for the most useful data structures. Along with the hundreds of worked exercises and hundreds of illustrations, the result is an excellent and valuable reference tool for professionals in many areas, including computer graphics, databases, geographic information systems (GIS), game programming, image processing, pattern recognition, solid modeling, similarity retrieval, and VLSI design. Award Winner in 2006 "Best Book competition in Professional and Scholarly Publishing from the Association of American Publishers. Morgan Kaufmann would like to congratulate Hanan Samet on receiving the UCGIS 2009 Research Award! Read the announcement here: http://www.ucgis.org/summer2009/researchaward.htm * First comprehensive work on multidimensional data structures available, a thorough and authoritative treatment. * An algorithmic rather than mathematical approach, with a liberal use of examples that allows the readers to easily see the possible implementation and use. * Each section includes a large number of exercises and solutions to self-test and confirm the reader's understanding and suggest future directions. * Written by a well-known authority in the area of spatial data structures who has made many significant contributions to the field. The author's website includes: Spatial Index Demos

Book details

Book category Books in English Computing & information technology Computer programming / software development Algorithms & data structures

• Full title: Foundations of Multidimensional and Metric Data Structures
• Author: Hanan Samet
• Language: English
• Binding: Hardback
• Number of pages: 1024
• EAN: 9780123694461
• ISBN: 0123694469
• ID: 02703616
• Publisher: Elsevier Science & Technology
• Weight: 2978 g
• Dimensions: 285 × 226 × 47 mm
• Date of publishing: 12. September 2006

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