Jean Daniel Mukam, Antoine Tambue. Optimal strong convergence rates of numerical methods for semilinear parabolic SPDE driven by Gaussian noise and Poisson random measure. Computers & Mathematics with Applications, 77(10):2786-2803, 2019. [doi]
@article{MukamT19,
title = {Optimal strong convergence rates of numerical methods for semilinear parabolic SPDE driven by Gaussian noise and Poisson random measure},
author = {Jean Daniel Mukam and Antoine Tambue},
year = {2019},
doi = {10.1016/j.camwa.2019.01.011},
url = {https://doi.org/10.1016/j.camwa.2019.01.011},
researchr = {https://researchr.org/publication/MukamT19},
cites = {0},
citedby = {0},
journal = {Computers & Mathematics with Applications},
volume = {77},
number = {10},
pages = {2786-2803},
}