Foundations of Multidimensional And Metric Data Structures 新书_图书内容介绍_剧情呢
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Foundations of Multidimensional And Metric Data Structures读书介绍

类别 页数 译者 网友评分 年代 出版社
书籍 1024页 2020 Morgan Kaufmann
定价 出版日期 最近访问 访问指数
USD 79.95 2020-02-20 … 2020-06-04 … 62
主题/类型/题材/标签
算法,计算机,Algorithm,计算机图形学,计算几何,数据结构,计算机科学,图形学,
作者
Hanan Samet      ISBN:9780123694461    原作名/别名:《》
内容和作者简介
Foundations of Multidimensional And Metric Data Structures摘要

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...

作者简介

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

本书后续版本
未发行或暂未收录
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