Foundations of Multidimensional and Metric Data Structures

by Hanan Samet

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.

Genres: Algorithms, Technical, Computation, Technology, Programming

1024 pages, Hardcover

First published January 1, 2006

Reviews

[Nick Black · Rating 5 out of 5]

truly a glorious book
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wow, this is a 300-pound black mamba she-bitch pisscutter for sure. no two-day read right here!
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found in a reference on Z-curves, which are pretty much the hotness

[Daniel · Rating 5 out of 5]

Mix of breadth and depth of topics; some topics are way too deep (and I've skipped a bunch), others not covered at all - maybe because this space is moving so quickly. Overall very good.

[Oleksandr Nikitin · Rating 5 out of 5]

a rather comprehensive handbook. with examples and explanations. there should be more books like this.