Covers the definition of scalar product, properties, examples, and applications in Euclidean spaces, including the Cauchy-Schwartz inequality.
Covers the decomposition of a vector in a base and its applications in speed and distance calculations.
Explores isometries in Euclidean spaces, including translations, rotations, and linear symmetries, with a focus on matrices.
Covers the basic concepts related to vectors, including their definition, operations, and properties, as well as applications through examples and the Varignon's theorem.
Covers orthogonal linear maps, orthogonal matrices, invertibility, and least squares solutions in Euclidean spaces.
Explores landmarks, coordinates, vectors, coplanarity, Cartesian equations, and geometric rules in space.
