Provides an essential overview of computational conformal geometry applied to engineering fields

Explores fundamental problems in specific fields of application

Developed from courses given by the authors at the University of Louisiana at Lafayette, the State University of New York at Stony Brook, and Tsinghua University



Autorentext

Miao Jin received her PhD from the State University of New York at Stony Brook in 2008. She is the recipient of a National Science Foundation Career Award (2011-2016) for her work in computational conformal and quasi-conformal geometry, and is currently an Associate Professor at the University of Louisiana at Lafayette. Her research interests include computational geometry and topology, and especially computational conformal geometry, computational hyperbolic geometry, and computational quasi-conformal geometry - with applications to computer graphics, wireless sensor networks, geometric modelling, and computer vision.

David Xianfeng Gu received his PhD from Harvard University in 2003. He is currently an Associate Professor at the State University of New York at Stony Brook and was an Assistant Professor at the University of Florida (2003-2004). His research interests include differential geometry, algebraic topology, Riemann surface theory and especially computational conformal geometry - with applications to computer graphics, computer vision, medical imaging, and scientific computing. He is the recipient of a National Science Foundation Career Award (2004-2009), Morningside Gold Medal in Applied Mathematics (2013) for his work in computational conformal geometry.



Inhalt
Introduction.- Topological Algorithms.- Harmonic Map.- Harmonic and Holomorphic Forms.- Discrete Ricci Flow.- Computer Graphics.- Computer Vision.- Geometric Modeling.- Medical Imaging.- Wireless Sensor Networks.
Titel
Conformal Geometry
Untertitel
Computational Algorithms and Engineering Applications
EAN
9783319753324
Format
E-Book (pdf)
Veröffentlichung
10.04.2018
Digitaler Kopierschutz
Wasserzeichen
Dateigrösse
15.26 MB
Anzahl Seiten
314