A Riemann-Hilbert approach to the perturbation theory for orthogonal polynomials: Applications to numerical linear algebra and random matrix theory.
Xiucai DingThomas TrogdonPublished in: CoRR (2021)
Keyphrases
- linear algebra
- orthogonal polynomials
- perturbation theory
- random matrix theory
- numerical methods
- singular value decomposition
- correlation matrix
- orthogonal moments
- image processing
- basis functions
- neural network
- texture image retrieval
- computer vision
- polynomial kernels
- moment invariants
- zernike moments
- edge detection
- image analysis