Covers PCA and LDA for dimensionality reduction, explaining variance maximization, eigenvector problems, and the benefits of Kernel PCA for nonlinear data.
Explores the modeling of elastic behavior in membranes, emphasizing universal construction procedures and energy-based approaches for stability analysis.