Singular value decomposition: Blind signal separation, Eigenvalues and eigenvectors, Ervand Kogbetliantz, Generalized singular value decomposition, ... Kernel (matrix), Moore-Penrose pseudoinverse

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Pages: 38. Chapters: Blind signal separation, Eigenvalues and eigenvectors, Ervand Kogbetliantz, Generalized singular value decomposition, Gene H. Golub, Kernel (matrix), Moore-Penrose pseudoinverse, Non-linear iterative partial least squares, Normal mode, Orthogonal Procrustes problem, Schmidt decomposition, Spectral theorem, Two-dimensional singular value decomposition.