A multilevel Monte Carlo virtual element method is developed and analyzed for uncertainty quantification of stochastic elliptic PDEs, using mesh agglomeration to cut the number of fine-level samples needed for target accuracy.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.NA 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A Multilevel Monte Carlo Virtual Element Method for Uncertainty Quantification of Elliptic Partial Differential Equations
A multilevel Monte Carlo virtual element method is developed and analyzed for uncertainty quantification of stochastic elliptic PDEs, using mesh agglomeration to cut the number of fine-level samples needed for target accuracy.