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Titlebook: Generalized Voronoi Diagram: A Geometry-Based Approach to Computational Intelligence; Marina L. Gavrilova Book 2008 Springer-Verlag Berlin

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書(shū)目名稱Generalized Voronoi Diagram: A Geometry-Based Approach to Computational Intelligence
編輯Marina L. Gavrilova
視頻videohttp://file.papertrans.cn/383/382261/382261.mp4
概述Presents a geometry based approach on Computational Intelligence
叢書(shū)名稱Studies in Computational Intelligence
圖書(shū)封面Titlebook: Generalized Voronoi Diagram: A Geometry-Based Approach to Computational Intelligence; Marina L. Gavrilova Book 2008 Springer-Verlag Berlin
描述The year 2008 is a memorial year for Georgiy Vorono (1868-1908), with a number of events in the scientific community commemorating his tremendous contribution to the area of mathematics, especially number theory, through conferences and scientific gatherings in his honor. A notable event taking place in September 2008 a joint c- ference: the 5th Annual International Symposium on Voronoi Diagrams (ISVD) and the 4th International Conference on Analytic Number Theory and Spatial Tessel- tions held in Kyiv, Georgiy Vorono ’s native land. The main ideas expressed by G. Vorono ’s through his fundamental works have influenced and shaped the key dev- opments in computation geometry, image recognition, artificial intelligence, robotics, computational science, navigation and obstacle avoidance, geographical information systems, molecular modeling, astrology, physics, quantum computing, chemical en- neering, material sciences, terrain modeling, biometrics and other domains. This book is intended to provide the reader with in-depth overview and analysis of the fundamental methods and techniques developed following G. Voronoi ideas, in the context of the vast and increasingly growing area of co
出版日期Book 2008
關(guān)鍵詞Navigation; Triangulation; algorithms; artificial intelligence; biometrics; cognition; computational intel
版次1
doihttps://doi.org/10.1007/978-3-540-85126-4
isbn_softcover978-3-642-09883-3
isbn_ebook978-3-540-85126-4Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2008
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Intelligent Solutions for Curve Reconstruction Problemthe mechanism by which algorithms can handle .-samples. Another recent topic is the introduction of the optimization technique which has been applied to many other practical problems. This chapter briefly reviews how this technique is applied to the curve reconstruction problem..Another important ap
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A Methodology for Automated Cartographic Data Input, Drawing and Editing Using Kinetic Delaunay/Voroeloped as part of the research has been presented..We also describe two reversible line-drawing methods for cartographic applications based on the kinetic (moving-point) Voronoi diagram. Our objectives were to optimize the user’s ability to draw and edit the map, rather than to produce the most effi
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Generalized Voronoi Diagram: A Geometry-Based Approach to Computational Intelligence
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https://doi.org/10.1007/978-3-658-34291-3 which was first proposed in computational physics, is a subject for further mathematical development. On the other hand, physicists, chemists and material scientists, who are still using traditional methods for structure characterization, have an opportunity to learn more about this new technique a
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Externalism and Modest Contextualism,eloped as part of the research has been presented..We also describe two reversible line-drawing methods for cartographic applications based on the kinetic (moving-point) Voronoi diagram. Our objectives were to optimize the user’s ability to draw and edit the map, rather than to produce the most effi
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