Every Matrix is a Product of Toeplitz Matrices.
Ke YeLek-Heng LimPublished in: Found. Comput. Math. (2016)
Keyphrases
- systems of linear equations
- coefficient matrix
- singular value decomposition
- correlation matrix
- matrix representation
- square matrices
- perturbation theory
- singular values
- positive definite
- eigenvalues and eigenvectors
- linear algebra
- least squares
- block diagonal
- projection matrices
- symmetric positive definite
- measurement matrix
- data matrix
- linear complementarity problem
- low rank
- pseudo inverse
- projection matrix
- sparse matrix
- product information
- distance matrix
- rows and columns
- support vector
- low rank matrix approximation
- positive semidefinite
- linear systems
- matrix completion
- product design
- product quality
- matrix multiplication
- low rank matrix
- negative matrix factorization
- kernel matrix
- singular vectors
- original data
- factor matrices
- fourier transform
- life cycle
- symmetric matrices
- affinity matrix