Foundations of Multidimensional and Metric Data Structures
Morgan Kaufmann, 2006 - 993 sider
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.
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LibraryThing ReviewBrugeranmeldelse - bwa32 - LibraryThing
Comprehensive; well-written and clear; 2000+ cited references; unique presentation of the material as far as I can tell. (1/24/2017) Læs hele anmeldelsen
Multidimensional Point Data
ObjectBased and ImageBased Image Representations
Intervals and Small Rectangles
Overview of BTrees