On the merits of sparse surrogates for global sensitivity analysis of multi-scale nonlinear problems: Application to turbulence and fire-spotting model in wildland fire simulators.
Andrea TrucchiaVera N. EgorovaGianni PagniniMélanie C. RochouxPublished in: Commun. Nonlinear Sci. Numer. Simul. (2019)
Keyphrases
- sensitivity analysis
- multiscale
- computational model
- managerial insights
- influence diagrams
- image processing
- variational inequalities
- statistical model
- probability distribution
- objective function
- management system
- d objects
- natural images
- multi objective
- high dimensional
- probability density function
- image segmentation
- neural network