Krylov subspace approximation of eigenpairs and matrix functions in exact and computer arithmetic.
Vladimir DruskinLeonid KnizhnermanPublished in: Numer. Linear Algebra Appl. (1995)
Keyphrases
- set of basis functions
- singular vectors
- basis functions
- null space
- singular value decomposition
- exact computation
- error tolerance
- hilbert space
- continuous functions
- subspace clustering
- principal component analysis
- eigendecomposition
- approximation error
- computer systems
- feature extraction
- matrix representation
- approximation algorithms
- high dimensional data
- dimensionality reduction
- low dimensional
- projection matrix
- arithmetic operations
- low rank approximation
- floating point
- closed form
- approximation methods
- computer technology
- low rank
- convex functions
- computer architecture
- linear subspace