Polynomial degree reduction in the L2-norm equals best Euclidean approximation of Bézier coefficients.
David LutterkortJörg PetersUlrich ReifPublished in: Comput. Aided Geom. Des. (1999)
Keyphrases
- feature extraction
- low degree
- tensor product
- randomized approximation
- lagrange interpolation
- convex functions
- euclidean space
- series expansion
- approximation error
- linear combination
- error bounds
- efficient computation
- symmetric matrix
- approximation methods
- lp norm
- neural network
- euclidean distance
- taylor series expansion
- multiscale
- low order
- linear prediction
- approximation algorithms
- closed form