Supervised parallel-in-time algorithm for long-time Lagrangian simulations of stochastic dynamics: Application to hydrodynamics.
Ansel L. BlumersZhen LiGeorge E. KarniadakisPublished in: J. Comput. Phys. (2019)
Keyphrases
- learning algorithm
- high accuracy
- k means
- computational cost
- detection algorithm
- convergence rate
- worst case
- np hard
- preprocessing
- experimental evaluation
- theoretical analysis
- parallel implementation
- dynamic programming
- optimal solution
- stochastic approximation
- expectation maximization
- optimization algorithm
- similarity measure
- convex hull
- monte carlo
- times faster
- relaxation algorithm
- parallel processing
- machine learning
- cellular automata
- segmentation algorithm
- linear programming
- computational complexity
- objective function
- reinforcement learning