Svd.
columns, SVD can be represented as A = UΣV^T, where U is an m x m orthogonal matrix, Σ is an m x n diagonal matrix with non-negative real numbers on the diagonal (singular values), and V^T is the transpose of an n x n orthogonal matrix. Mathematical Formulation of SVD: The SVD of a matrix A can be