1. **Differential Geometry and the Shape of Data** ([Bakhyt Aitzhanova](https://math.virginia.edu/people/axh7cj/) and [Josh Turner](https://math.virginia.edu/people/rbh3vx/)): In this project, we’ll be working with 3D geometric data and at the same time exploring some basic ideas from differential geometry. The main goal is to understand key concepts—like curvature—from two angles: how they are defined in mathematics and how they can be computed in practice. Looking at both sides helps build intuition and also shows how these ideas lead to useful algorithms for real-world problems. We’ll also develop some important tools from calculus and linear algebra, but with a focus on building intuition and developing a good visual understanding. Throughout the project, you’ll see both the mathematical background and plenty of practical examples and applications. We’ll also take a look at newer developments in digital geometry processing and discrete differential geometry. Some of the topics we’ll cover include: curves and surfaces, curvature, simplicial homology, differential forms, geodesics, and numerical linear algebra. On the application side, we’ll see how to approximate curvature, smooth curves and surfaces, parameterize surfaces, design vector fields, and compute geodesic distances.
0 commit comments