Solving Inverse Problems in Steady State Navier-Stokes Equations using Deep Neural Networks.
Tiffany FanKailai XuJay PathakEric DarvePublished in: CoRR (2020)
Keyphrases
- steady state
- inverse problems
- neural network
- image reconstruction
- markov chain
- global optimization
- navier stokes equations
- convex optimization
- operating conditions
- product form
- queue length
- optimization problems
- arrival process
- optimization methods
- explicit expressions
- steady states
- arrival rate
- queueing networks
- partial differential equations
- heavy traffic
- service times
- queueing model
- genetic algorithm
- early vision
- multi objective