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＜電子ブック＞
Conformal Geometry : Computational Algorithms and Engineering Applications / by Miao Jin, Xianfeng Gu, Ying He, Yalin Wang

版	1st ed. 2018.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2018
本文言語	英語
大きさ	XIII, 314 p : online resource
著者標目	*Jin, Miao author Gu, Xianfeng author He, Ying author Wang, Yalin author SpringerLink (Online service)
件　名	LCSH:Mathematics -- Data processing  全ての件名で検索 LCSH:Engineering mathematics LCSH:Engineering -- Data processing  全ての件名で検索 LCSH:Image processing -- Digital techniques  全ての件名で検索 LCSH:Computer vision FREE:Computational Science and Engineering FREE:Mathematical and Computational Engineering Applications FREE:Computer Imaging, Vision, Pattern Recognition and Graphics
一般注記	Introduction -- Topological Algorithms -- Harmonic Map -- Harmonic and Holomorphic Forms -- Discrete Ricci Flow -- Computer Graphics -- Computer Vision -- Geometric Modeling -- Medical Imaging -- Wireless Sensor Networks This book offers an essential overview of computational conformal geometry applied to fundamental problems in specific engineering fields. It introduces readers to conformal geometry theory and discusses implementation issues from an engineering perspective. The respective chapters explore fundamental problems in specific fields of application, and detail how computational conformal geometric methods can be used to solve them in a theoretically elegant and computationally efficient way. The fields covered include computer graphics, computer vision, geometric modeling, medical imaging, and wireless sensor networks. Each chapter concludes with a summary of the material covered and suggestions for further reading, and numerous illustrations and computational algorithms complement the text. The book draws on courses given by the authors at the University of Louisiana at Lafayette, the State University of New York at Stony Brook, and Tsinghua University, and will be of interest to senior undergraduates, graduates and researchers in computer science, applied mathematics, and engineering HTTP:URL=https://doi.org/10.1007/978-3-319-75332-4

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