Lectures related to Great-circle distance

Embedding Space: AdS and Euclidean Geometry

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

Geodesic Curves: Minimizing Distance and Constant Speed

Covers geodesic curves parameterized at constant speed to minimize distances between points.

Analysis of ARV

Covers the analysis of ARV, focusing on minimizing distances between points in cutis vis.

Linear Classification: Signed Distance and Perceptron

Explores signed distance, perceptron, logistic regression, cross entropy, and multi-class classification.

Introduction to Module 2

Explores the shift to online education, benefits, challenges, and needs analysis.

The Conjugate Gradients Method (CG)

Covers the Conjugate Gradients method for solving linear systems iteratively with quadratic convergence and emphasizes the importance of linear independence among conjugate directions.

Physically-based Differentiable Rendering

Covers Physically-based Differentiable Rendering in the context of Realistic Graphics Lab at EPFL, exploring its applications and future potential.