Numerical approximation of the stochastic Navier-Stokes equations through artificial compressibility.
Jad DoghmanPublished in: CoRR (2022)
Keyphrases
- navier stokes equations
- approximation schemes
- stage stochastic programs
- discrete random variables
- boundary conditions
- approximation algorithms
- relative error
- monte carlo sampling
- monte carlo
- real world
- closed form
- error bounds
- efficient computation
- stochastic optimization
- neural network
- artificial intelligence
- stochastic nature
- stochastic programming
- approximation error
- approximation methods
- website
- artificial neural networks
- database
- linear program
- dynamic programming