Zum Hauptinhalt springen
Nicht aus der Schweiz? Besuchen Sie lehmanns.de
Foundations of Multidimensional and Metric Data Structures - Hanan Samet

Foundations of Multidimensional and Metric Data Structures

(Autor)

Buch | Hardcover
1024 Seiten
2006
Morgan Kaufmann Publishers In (Verlag)
9780123694461 (ISBN)
CHF 105,00 inkl. MwSt
Discusses multidimensional point data, object and image-based representations, intervals and small rectangles, and high-dimensional datasets. This book includes a comprehensive survey to spatial and multidimensional data structures and algorithms. It also includes implementation details for some of the most useful data structures.
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.

Hanan Samet is Professor in the Department of Computer Science at the University of Maryland, and a member of the Center for Automation Research and the Institute for Advanced Computer Studies. He is widely published in the fields of spatial databases and data structures, computer graphics, image databases and image processing, and geographic information systems (GIS), and is considered an authority on the use and design of hierarchical spatial data structures such as the quadtree and octree for geographic information systems, image processing, and computer graphics. He is the author of the two books The Design and Analysis of Spatial Data Structures and Applications of Spatial Data Structures: Computer Graphics, Image Processing and GIS. He holds a Ph.D. in computer science from Stanford University.

Multidimensional data is data that exists and changes in more than one dimension, by time, or spatially, or both, sometimes dynamically. Think here of tracking hurricane data in order to project the storm's path, for just one example. As spatial and other multidimensional data structures become increasingly important for the applications in game programming, data mining, bioinformatics, and many other areas--including astronomy, geographic information systems, physics, etc., the need for a comprehensive book on the subject is paramount. This book is truly a life's work by the author who is clearly the best person for the job.

Erscheint lt. Verlag 12.9.2006
Reihe/Serie Data Management Systems
Verlagsort San Francisco
Sprache englisch
Maße 216 x 276 mm
Gewicht 2330 g
Themenwelt Informatik Theorie / Studium Algorithmen
ISBN-13 9780123694461 / 9780123694461
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
Eine Einführung

von Thomas H. Cormen; Charles E. Leiserson; Ronald Rivest

Buch | Hardcover (2025)
De Gruyter Oldenbourg (Verlag)
CHF 179,95