| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910300119203321 |
|
|
Autore |
Jin Miao |
|
|
Titolo |
Conformal Geometry : Computational Algorithms and Engineering Applications / / by Miao Jin, Xianfeng Gu, Ying He, Yalin Wang |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st ed. 2018.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (318 pages) |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Computer science - Mathematics |
Applied mathematics |
Engineering mathematics |
Optical data processing |
Computational Science and Engineering |
Mathematical and Computational Engineering |
Computer Imaging, Vision, Pattern Recognition and Graphics |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di contenuto |
|
Introduction -- Topological Algorithms -- Harmonic Map -- Harmonic and Holomorphic Forms -- Discrete Ricci Flow -- Computer Graphics -- Computer Vision -- Geometric Modeling -- Medical Imaging -- Wireless Sensor Networks. |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
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. |
|
|
|
|
|
| |