Data-driven polynomial chaos expansions: A weighted least-square approximation.
Ling GuoYongle LiuTao ZhouPublished in: J. Comput. Phys. (2019)
Keyphrases
- data driven
- least squares
- randomized approximation
- weight function
- error minimization
- lagrange interpolation
- neural network
- approximation error
- particle swarm optimization
- computer vision
- artificial neural networks
- weighted sum
- error tolerance
- low order
- lp norm
- tikhonov regularization
- smooth functions
- weighted distance
- approximation methods
- relative error
- singular value decomposition
- closed form
- multi objective
- genetic algorithm