Lectures related to QR Factorization: Orthogonal Bases and Matrices

Explores spectral and singular value decompositions of matrices.

Covers the Singular Value Decomposition theorem and its application in decomposing matrices.

Covers orthogonal linear maps, orthogonal matrices, invertibility, and least squares solutions in Euclidean spaces.

Explores the fundamentals of Singular Value Decomposition, including orthonormal bases and practical applications.

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