This is a preview. Log in through your library . Abstract »Geometrische Datenanalyse als Mittel der Reflexivität«. In this article, I propose a reflection on the use of geometric data analysis (GDA) ...
Geometric analysis, at its core, integrates methods from differential geometry and partial differential equations to study the properties of spaces endowed with a notion of distance. Metric spaces, ...
The study of diffeomorphism groups equipped with Sobolev metrics has emerged as a powerful framework for understanding the intricate interplay between infinite‐dimensional geometry and nonlinear ...
The 2024 Nobel Prize in Chemistry was recently granted to David Baker, Demis Hassabis and John M. Jumper, renowned for their pioneering works in protein design.
The newly developed Huber mean provides a more stable and reliable way to compute averages for data lying on curved geometric spaces, or Riemannian manifolds. By combining the strengths of ...
A new robust statistical method resists outliers, improving data reliability in AI, robotics, and medical imaging BUSAN, South Korea, Nov. 13, 2025 /PRNewswire/ -- In many modern sciences, data often ...
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