Lectures related to Orthogonal Linear Maps

Explains the construction of U, verification of results, and interpretation of SVD in matrix decomposition.

Explores orthogonal projection in Euclidean space, emphasizing uniqueness and calculation methods.

Covers diagonalization of matrices, eigenvectors, linear maps, and least squares method.

Covers fundamental concepts in linear algebra, including linear equations, matrix operations, determinants, and vector spaces.

Explains orthogonal families, bases, and projections in vector spaces.

Introduces orthogonal families, orthonormal bases, and projections in linear algebra.

Covers the theorems related to orthogonal projection and orthonormal bases.

Explores orthogonal matrices and transformations, emphasizing preservation of norms and angles.

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