Strong rates of convergence of space-time discretization schemes for the 2D Navier-Stokes equations with additive noise.
Hakima BessaihAnnie MilletPublished in: CoRR (2021)
Keyphrases
- space time
- additive noise
- rates of convergence
- navier stokes equations
- noisy images
- spatial domain
- maximum likelihood
- spatio temporal
- video sequences
- empirical risk
- regression function
- random variables
- expectation maximization
- speech signal
- decision boundary
- denoising
- boundary conditions
- image processing
- single image
- loss function
- maximum a posteriori
- bayesian framework
- particle filter
- high dimensional
- pattern recognition