Covariant Differentiation 
Covariant Differentiation
by Stanford
Video Lecture 11 of 19
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Date Added: April 4, 2016

Lecture Description

This video lecture, part of the series Differential Geometry for Computer Science by Prof. , does not currently have a detailed description and video lecture title. If you have watched this lecture and know what it is about, particularly what Computer Science topics are discussed, please help us by commenting on this video with your suggested description and title. Many thanks from,

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Course Index

Course Description

In this course, taught by Adrian Butscher and Justin Solomon, we will present both continuous and discrete aspects of the differential geometry toolbox with an eye for applications in computer science. Differential geometry appears in a broad variety of applications, including graphics, medical imaging, vision, and learning. We will present parallel threads introducing concepts from the differential geometry of surfaces (curvature, deformation, differentiation, differential equations, mapping) and their corresponding discretizations and applications.

The only necessary background is math at the level of Math 52 and coding experience. Assignments will include some written problems and some Matlab programming.

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