Linear Algebra, Python, Matrix Factorization, Numpy.
orthogonal matrix (m x m) Σ is a diagonal matrix (m x n, same dimensions as A) V is an orthogonal matrix (n x n) So we’ve decomposed the matrix into simpler pieces: geometrically, this represents a rotation (orthogonal) times a stretch (diagonal matrix that scales each coordinate) times a rotation.