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This book introduces differential geometry and cutting-edge findings from the discipline by incorporating both classical approaches and modern discrete differential geometry across all facets and applications, including graphics and imaging, physics and networks. With curvature as the centerpiece, the authors present the development of differential geometry, from curves to surfaces, thence to higher dimensional manifolds; and from smooth structures to metric spaces, weighted manifolds and complexes, and to images, meshes and networks. The first part of the book is a differential geometric study of curves and surfaces in the Euclidean space, enhanced while the second part deals with higher dimensional manifolds centering on curvature by exploring the various ways of extending it to higher dimensional objects and more general structures and how to return to lower dimensional constructs. The third part focuses on computational algorithms in algebraic topology and conformal geometry, applicable for surface parameterization, shape registration and structured mesh generation. The volume will be a useful reference for students of mathematics and computer science, as well as researchers and engineering professionals who are interested in graphics and imaging, complex networks, differential geometry and curvature
This book bridges classical differential geometry with modern discrete approaches to explore its applications across various fields. The authors, Emil Saucan and Xianfeng David Gu, present a comprehensive study of differential geometry, using curvature as a central theme. The book progresses from the study of curves and surfaces in Euclidean space to higher-dimensional manifolds, exploring extensions of curvature to more general structures. It also delves into computational algorithms in algebraic topology and conformal geometry, relevant for areas like surface parameterization and mesh generation.
The book is positioned as a valuable reference for students and professionals in mathematics, computer science, and engineering, particularly those interested in graphics, imaging, networks, and differential geometry. Its comprehensive approach, integrating classical and discrete methods with a focus on curvature, suggests it aims to provide a thorough understanding of the subject. The inclusion of computational algorithms indicates a practical orientation alongside theoretical exploration.
Page Count:
608
Publication Date:
2022-12-01
Publisher:
Taylor & Francis Group
ISBN-10:
1003350577
ISBN-13:
9781003350576
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