Lectures related to Landmarks and Vectors

Explains orthogonal projection and vector decomposition with examples in particle trajectory analysis.

Covers matrix kernels, images, linear applications, independence, and bases in vector spaces.

Covers orthogonality, scalar products, orthogonal bases, and vector projection in detail.

Explores Lie groups, scalar fields, and vector spaces transformations.