Lectures related to Linear Applications and Matrix Calculus

Covers variational methods in mechanics, focusing on the Ritz-Galerkin method.

Explores manipulation of 3D arrays, barycenters, shape matrices, Jacobians, eigendecomposition, and visualization in elastic solids.

Covers the basics of linear programming, defining corners, extreme points, and feasible solutions within polyhedrons.

Explores optimal transforms, image applications, linear algebra, and 2nd-order statistics in image processing.

Explores distributional derivatives, continuity, boundedness of linear operators, and weak-* continuity.