Fast Algorithms for the Approximation of the Pseudospectral Abscissa and Pseudospectral Radius of a Matrix.
Nicola GuglielmiMichael L. OvertonPublished in: SIAM J. Matrix Anal. Appl. (2011)
Keyphrases
- learning algorithm
- recently developed
- computational cost
- optimization problems
- orders of magnitude
- linear algebra
- error bounds
- perturbation theory
- eigenvalues and eigenvectors
- matrix representation
- approximation methods
- low rank
- approximation algorithms
- combinatorial optimization
- closed form
- theoretical analysis
- pairwise
- feature selection