Strongly convergent error analysis for a spatially semidiscrete approximation of stochastic partial differential equations with non-globally Lipschitz continuous coefficients.
Xu YangWeidong ZhaoPublished in: J. Comput. Appl. Math. (2021)
Keyphrases
- error analysis
- partial differential equations
- ambrosio tortorelli
- image denoising
- numerical scheme
- difference equations
- level set
- anisotropic diffusion
- least squares
- mumford shah model
- error estimates
- numerical solution
- image processing
- image enhancement
- finite difference
- wavelet coefficients
- monte carlo sampling
- error correction
- numerical methods
- differential equations
- fourth order
- problems in image processing
- diffusion equation
- multiscale
- piecewise constant
- linear combination
- mumford shah
- numerical algorithms
- energy functional
- denoising
- mathematical morphology
- graph cuts
- edge detection
- nonlinear diffusion
- computational complexity
- conservation laws
- stochastic models
- high order
- higher order
- pairwise
- feature space