On the Approximation of Functionals of Very Large Hermitian Matrices represented as Matrix Product Operators.
Moritz AugustMarí Carmen BañulsThomas HucklePublished in: CoRR (2016)
Keyphrases
- singular values
- square matrices
- singular vectors
- singular value decomposition
- matrix representation
- matrix decomposition
- low rank matrix approximation
- coefficient matrix
- matrix completion
- positive definite
- special case
- projection matrices
- low rank approximation
- perturbation theory
- low rank
- linear algebra
- sparse matrix
- data matrix
- rows and columns
- life cycle
- eigenvalues and eigenvectors
- approximation error
- fundamental matrix
- matrix multiplication
- block diagonal
- positive semidefinite
- systems of linear equations
- approximation algorithms
- least squares
- linear complementarity problem
- linear combination
- eigendecomposition
- higher order
- sparse matrices
- pairwise
- distance matrix
- symmetric matrices
- product information
- matrix approximation
- missing values
- measurement matrix
- low rank matrix
- pseudo inverse
- covariance matrix
- projection matrix
- factorization method
- covariance matrices