Optimization of mesh hierarchies in multilevel Monte Carlo samplers
We perform a general optimization of the parameters in the multilevel Monte Carlo (MLMC) discretization hierarchy based on uniform discretization methods with general approximation orders and computational costs. We optimize hierarchies with geometric and non-geometric sequences of mesh sizes and sh...
Autors principals: | Haji-Ali, A, Nobile, F, von Schwerin, E, Tempone, R |
---|---|
Format: | Journal article |
Publicat: |
Springer
2015
|
Ítems similars
-
Multilevel and Multi-index Monte Carlo methods for the McKean-Vlasov equation
per: Haji-Ali, A, et al.
Publicat: (2017) -
Multi-index Monte Carlo: when sparsity meets sampling
per: Haji-Ali, A, et al.
Publicat: (2015) -
Sequential Monte Carlo samplers
per: Del Moral, P, et al.
Publicat: (2006) -
Monte Carlo samplers for efficient network inference.
per: Zeliha Kilic, et al.
Publicat: (2023-07-01) -
Adaptive Hamiltonian and Riemann Manifold Monte Carlo Samplers
per: Wang, Z, et al.
Publicat: (2013)