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Foundations of Multidimensional and Metric Data Structures provides 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. Each section includes a large number of exercises and solutions to self-test and confirm the reader's understanding and suggest future directions. The book 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.
Zakup książki
Foundations of multidimensional and metric data structures, Hanan Samet
- Język
- Rok wydania
- 2006
- Oprawa
- (twarda)
Metody płatności
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- Tytuł
- Foundations of multidimensional and metric data structures
- Język
- angielski
- Autorzy
- Hanan Samet
- Wydawca
- Morgan Kaufmann
- Rok wydania
- 2006
- Oprawa
- twarda
- Liczba stron
- 1024
- ISBN10
- 0123694469
- ISBN13
- 9780123694461
- Seria
- Tagi
- Technologia, Algorytmy
- Ocena
- 4,5 z 5
- Opis
- Foundations of Multidimensional and Metric Data Structures provides 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. Each section includes a large number of exercises and solutions to self-test and confirm the reader's understanding and suggest future directions. The book 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.


