2 citations · 2 across the 2 of their papers we have counts for
2 papers
math.NA2021
Large deviations principles of sample paths and invariant measures of numerical methods for parabolic SPDEs
Chuchu Chen, Ziheng Chen, Jialin Hong +1
For parabolic stochastic partial differential equations (SPDEs), we show that the numerical methods, including the spatial spectral Galerkin method and further the full discretizat…
math.NA2020★ 2 cited
Numerically asymptotical preservation of the large deviations principles for invariant measures of Langevin equations
Jialin Hong, Diancong Jin, Derui Sheng +1
In this paper, we focus on two kinds of large deviations principles (LDPs) of the invariant measures of Langevin equations and their numerical methods, as the noise intensity $ε\to…