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...
Үндсэн зохиолч: | Giles, MB |
---|---|
Формат: | Conference item |
Хэл сонгох: | English |
Хэвлэсэн: |
Springer
2024
|
Ижил төстэй зүйлс
Ижил төстэй зүйлс
-
MLMC for nested expectations
-н: Giles, MB
Хэвлэсэн: (2018) -
Decision-making under uncertainty: using MLMC for efficient estimation of EVPPI
-н: Giles, M, зэрэг
Хэвлэсэн: (2018) -
A CLT for infinitely stratified estimators, with applications to debiased MLMC *
-н: Zheng Zeyu, зэрэг
Хэвлэсэн: (2017-01-01) -
Convergence Analysis and Cost Estimate of an MLMC-HDG Method for Elliptic PDEs with Random Coefficients
-н: Meng Li, зэрэг
Хэвлэсэн: (2021-05-01) -
Convergence of linearized and adjoint approximations for discontinuous solutions of conservation laws. Part 1: Linearized approximations and linearized output functionals
-н: Giles, M, зэрэг
Хэвлэсэн: (2010)