Quadratic Residual Bounds for the Hermitian Eigenvalue Problem.
Roy MathiasPublished in: SIAM J. Matrix Anal. Appl. (1998)
Keyphrases
- lower bound
- upper bound
- symmetric matrix
- objective function
- least squares
- worst case
- upper and lower bounds
- pairwise
- covariance matrix
- quadratic function
- lower and upper bounds
- eigenvalue problems
- real time
- tight bounds
- average case
- error bounds
- machine learning
- vc dimension
- semidefinite programming
- singular values
- large deviations
- computational complexity
- linear functions
- residual error
- feature extraction
- perturbation theory
- worst case bounds
- data sets