Lectures related to Gram-Schmidt Process and QR Decomposition

Explores orthogonal bases in vector spaces, explaining unique vector representations and spectral decomposition.

Explores the uniqueness and properties of orthogonal projection, including decomposition, associated matrix, linearity, and practical examples.

Explores QR factorization, orthogonal bases, and matrices for numerical computations and solving systems of equations.

Covers the Factorisation QR theorem and the Gram-Schmidt method for orthonormal bases.

Explores spectral and singular value decompositions of matrices.