Linearizations of matrix polynomials viewed as Rosenbrock's system matrices.
Froilán M. DopicoSilvia MarcaidaMaría C. QuintanaPaul Van DoorenPublished in: CoRR (2022)
Keyphrases
- coefficient matrix
- singular value decomposition
- square matrices
- singular values
- matrix representation
- positive definite
- eigenvalues and eigenvectors
- perturbation theory
- projection matrices
- linear algebra
- block diagonal
- projection matrix
- data matrix
- positive semidefinite
- sparse matrix
- matrix multiplication
- symmetric matrices
- low rank and sparse
- symmetric positive definite
- low rank
- rows and columns
- affinity matrix
- pseudo inverse
- correlation matrix
- linear complementarity problem
- matrix completion
- linear systems
- distance matrix
- low rank matrix
- measurement matrix
- sparse matrices
- symmetric matrix
- pairwise comparison
- covariance matrix
- binary matrix
- binary matrices
- covariance matrices
- semidefinite programming
- linear combination
- sufficient conditions
- systems of linear equations
- high dimensional
- low rank matrix approximation
- high dimension
- eigendecomposition
- factorization method
- low rank approximation