Numerical approximation of the stochastic equation driven by the fractional noise.
Xinfei LiuXiaoyuan YangPublished in: Appl. Math. Comput. (2023)
Keyphrases
- feed forward artificial neural networks
- differential equations
- numerical methods
- approximation schemes
- artificial neural networks
- noise level
- stochastic differential equations
- increase in computational complexity
- finite difference
- data driven
- additive gaussian noise
- monte carlo
- approximation error
- noise model
- approximation algorithms
- difference equations
- image noise
- error bounds
- discrete random variables
- stage stochastic programs
- noise removal
- noise reduction
- missing data
- closed form
- monte carlo sampling
- optical flow
- random noise
- runge kutta
- additive noise
- edge detection
- numerical solution
- numerical data
- image segmentation