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...
Main Authors: | Haji-Ali, A, Nobile, F, von Schwerin, E, Tempone, R |
---|---|
格式: | Journal article |
出版: |
Springer
2015
|
相似書籍
-
Multi-index Monte Carlo: when sparsity meets sampling
由: Haji-Ali, A, et al.
出版: (2015) -
Multilevel and Multi-index Monte Carlo methods for the McKean-Vlasov equation
由: Haji-Ali, A, et al.
出版: (2017) -
Sequential Monte Carlo samplers
由: Del Moral, P, et al.
出版: (2006) -
Adaptive Hamiltonian and Riemann Manifold Monte Carlo Samplers
由: Wang, Z, et al.
出版: (2013) -
Efficient white noise sampling and coupling for multilevel Monte Carlo with nonnested meshes
由: Croci, M, et al.
出版: (2018)