Linear applications and eigenvaluesCovers the representation of linear applications through matrices, diagonalizable matrices, bases, dot product, orthogonality, and orthogonal vectors.
Eigen Library for Linear AlgebraExplores the Eigen library for linear algebra, covering vectors, matrices, arrays, memory management, reshaping, and per-component operations.