Geometric data fitting on Riemannian manifolds addresses the approximation and interpolation of data that intrinsically lie on curved spaces rather than flat Euclidean domains. In many scientific and ...
In an era driven by complex data, scientists are increasingly encountering information that doesn't lie neatly on flat, Euclidean surfaces. From 3D medical scans to robot orientations and AI ...
Geometric statistics extends classical statistical methods to data that reside on curved spaces rather than flat Euclidean domains. At its core lies the notion of a manifold: a smooth, curved surface ...
The Norwegian Academy of Science and Letters has awarded the Abel Prize for 2019 to Karen Uhlenbeck, a visiting senior research scholar in mathematics at Princeton, “for her pioneering achievements in ...
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