On numerical energy conservation for an implicit particle-in-cell method coupled with a binary Monte-Carlo algorithm for Coulomb collisions.
Justin Ray AngusAnthony LinkAlex FriedmanDebojyoti GhoshJamal David JohnsonPublished in: J. Comput. Phys. (2022)
Keyphrases
- monte carlo
- monte carlo method
- monte carlo simulation
- importance sampling
- dynamic programming
- computational cost
- objective function
- probabilistic model
- markov chain
- computational complexity
- monte carlo methods
- optimal strategy
- convergence rate
- markov chain monte carlo
- stochastic approximation
- adaptive sampling
- search space
- quasi monte carlo
- learning algorithm
- expectation maximization
- parameter estimation
- temporal difference
- model selection
- particle filter
- global illumination
- matrix inversion
- semi supervised
- state space
- machine learning
- markovian decision