Monte Carlo-based a posteriori uncertainty quantification for background-oriented schlieren measurements.
Abdelhafidh MoumenVéronique de BrieyOussama AtouiDelphine LaboureurJohan GallantPatrick HendrickPublished in: J. Vis. (2022)
Keyphrases
- monte carlo
- measurement noise
- measurement errors
- monte carlo simulation
- markov chain
- importance sampling
- adaptive sampling
- monte carlo methods
- optimal strategy
- simulation study
- monte carlo tree search
- markovian decision
- monte carlo method
- variance reduction
- stochastic approximation
- game tree search
- particle filter
- point processes
- maximum likelihood
- global illumination