Eigenvalue bounds for matrix polynomials in generalized bases.
Aaron MelmanPublished in: Math. Comput. (2018)
Keyphrases
- eigenvalue problems
- symmetric matrix
- covariance matrix
- eigenvalue decomposition
- perturbation theory
- upper bound
- lower bound
- least squares
- basis functions
- semidefinite programming
- singular value decomposition
- hermite transform
- coefficient matrix
- upper and lower bounds
- error bounds
- pose estimation
- kernel function
- linear programming
- pairwise