MLMC techniques for discontinuous functions
The Multilevel Monte Carlo (MLMC) approach usually works well when estimating the expected value of a quantity which is a Lipschitz function of intermediate quantities, but if it is a discontinuous function it can lead to a much slower decay in the variance of the MLMC correction. This article revie...
Автор: | Giles, MB |
---|---|
Формат: | Conference item |
Мова: | English |
Опубліковано: |
Springer
2024
|
Схожі ресурси
Схожі ресурси
-
MLMC for nested expectations
за авторством: Giles, MB
Опубліковано: (2018) -
Decision-making under uncertainty: using MLMC for efficient estimation of EVPPI
за авторством: Giles, M, та інші
Опубліковано: (2018) -
A CLT for infinitely stratified estimators, with applications to debiased MLMC *
за авторством: Zheng Zeyu, та інші
Опубліковано: (2017-01-01) -
Convergence Analysis and Cost Estimate of an MLMC-HDG Method for Elliptic PDEs with Random Coefficients
за авторством: Meng Li, та інші
Опубліковано: (2021-05-01) -
Convergence of linearized and adjoint approximations for discontinuous solutions of conservation laws. Part 1: Linearized approximations and linearized output functionals
за авторством: Giles, M, та інші
Опубліковано: (2010)