Lectures related to Euclidean Correlation Functions

Covers the concept of area, axioms, and the area of rectangles.

Covers the concept of embedding space for AdS and Euclidean geometry, discussing AdS isometries and Euclidean Ads.

Covers optimization on manifolds, focusing on smooth manifolds and functions, and the process of gradient descent.

Explores linear systems, convergence, and solving methods with a focus on CPU time and memory requirements.

Explores the constitution and materials of rolling bearings, types, and selection criteria based on loads and speeds.