An Efficient and Accurate Method for the Identification of the Most Influential Random Parameters Appearing in the Input Data for PDEs.
Alexander E. LabovskyMax D. GunzburgerPublished in: SIAM/ASA J. Uncertain. Quantification (2014)
Keyphrases
- input data
- high accuracy
- computationally efficient
- high precision
- sensitivity analysis
- highly accurate
- maximum likelihood
- computational cost
- maximum likelihood estimation
- cost function
- preprocessing
- fine tuning
- pairwise
- parameter estimation
- clustering method
- objective function
- parameter selection
- neural network
- completely automatic
- probabilistic model
- significant improvement
- decision trees