Discusses challenges in comparing non-Euclidean data, proposing a Laplacian-based solution for graph alignment and exploring optimal transport for graph distance computation.
Explores the definitions and applications of partial derivatives in functions of several variables, emphasizing the importance of specifying the choice of variables.