Topics in Computational Geometry: Robust Geometric Computing and Optimal Visibility Coverage - Brossura
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This book presents work in two of the most popular areas of geometric computation: Robust Geometric Computing and Optimal Visibility Coverage. Both areas have been extensively researched in recent years and attracted the attention of many researchers and software developers. (1) Implementation of geometric algorithms is generally difficult because one must deal with both precision problems and degenerate input. Overlooking these issues often result in program errors or crashes. The first part of this book presents algorithms to approximate an arrangement of line segments, which is a basic and important geometric data structure, in order to make it more robust for further manipulation and computation. (2) The optimal visibility coverage problem, often called the "art gallery problem", is one of the classic geometric problems. The input for the problem is a geometric domain and the challenge is to minimize the number of guards that cover, or see, the domain. This topic is motivated by problems in surveillance, sensor networking, illumination and more. The second part of this book presents algorithms for some of the most popular visibility coverage problems.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
L'autore
Dr. Eli Packer works at IBM Research Center in Hawthorne, New York. He received a B.Sc. and an M.Sc. in Computer Science from Tel Aviv University, and a Ph.D. from the Department of Computer Science at Stony Brook University. His research interests include Computational Geometry, Computer Graphics, Algorithms and Software Engineering.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Topics in Computational Geometry
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VDM Verlag Dr. Müller, 2009
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Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Packer EliDr. Eli Packer works at IBM Research Center in Hawthorne, NewnYork. He received a B.Sc. and an M.Sc. in Computer Science from TelnAviv University, and a Ph.D. from the Department of ComputernScience at Stony Brook Universit. Codice articolo 4963105
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Topics in Computational Geometry : Robust Geometric Computing and Optimal Visibility Coverage
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents work in two of the most popularareas of geometric computation: Robust GeometricComputing and Optimal Visibility Coverage. Both areashave been extensively researched in recent years andattracted the attention of many researchers andsoftware developers. (1) Implementation of geometricalgorithms is generally difficult because one mustdeal with both precision problems and degenerateinput. Overlooking these issues often result inprogram errors or crashes. The first part of thisbook presents algorithms to approximate anarrangement of line segments, which is a basic andimportant geometric data structure, in order to makeit more robust for further manipulation andcomputation. (2) The optimal visibility coverageproblem, often called the 'art gallery problem', isone of the classic geometric problems. The input forthe problem is a geometric domain and the challengeis to minimize the number of guards that cover, orsee, the domain. This topic is motivated by problemsin surveillance, sensor networking, illumination andmore. The second part of this book presentsalgorithms for some of the most popular visibilitycoverage problems. Codice articolo 9783639162950
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Taschenbuch. Condizione: Neu. Topics in Computational Geometry | Robust Geometric Computing and Optimal Visibility Coverage | Eli Packer | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2009 | VDM Verlag Dr. Müller | EAN 9783639162950 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu. Codice articolo 101553707
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