A note on computing matrix-vector products with generalized centrosymmetric (centrohermitian) matrices.
Zhong-Yun LiuHan-Dong CaoHui-Jiong ChenPublished in: Appl. Math. Comput. (2005)
Keyphrases
- sparse matrix
- symmetric matrix
- matrix representation
- eigenvalues and eigenvectors
- symmetric matrices
- rows and columns
- singular value decomposition
- eigenvalue decomposition
- eigenvalue problems
- moore penrose
- pseudo inverse
- coefficient matrix
- square matrices
- covariance matrix
- singular values
- positive definite
- linear algebra
- projection matrix
- projection matrices
- transformation matrix
- correlation matrix
- linear complementarity problem
- least squares
- covariance matrices
- block diagonal
- positive semidefinite
- low rank matrix
- matrix multiplication
- matrix completion
- distance matrix
- measurement matrix
- data matrix
- sparse matrices
- eigendecomposition
- perturbation theory
- systems of linear equations
- semidefinite programming
- linear systems
- low rank and sparse
- tensor factorization