Convergence Rates of Multilevel and Sparse Tensor Approximations for a Random Elliptic PDE.
Claude Jeffrey GittelsonPublished in: SIAM J. Numer. Anal. (2013)
Keyphrases
- convergence rate
- partial differential equations
- high order
- numerical methods
- tensor decomposition
- learning rate
- convergence speed
- anisotropic diffusion
- higher order
- level set
- global convergence
- tensor factorization
- diffusion tensor
- gaussian kernels
- image denoising
- primal dual
- numerical stability
- sparse representation
- numerical solution
- stopping criterion
- structure tensor
- image processing
- differential equations
- image enhancement
- high dimensional
- fourier descriptors
- mutation operator
- denoising
- learning algorithm
- low memory requirements