Some approximation results for mild solutions of stochastic fractional order evolution equations driven by Gaussian noise
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
Standard
Some approximation results for mild solutions of stochastic fractional order evolution equations driven by Gaussian noise. / Fahim, K.; Hausenblas, E.; Kovács, M.
in: Stochastics and Partial Differential Equations: Analysis and Computations, 26.04.2022.
in: Stochastics and Partial Differential Equations: Analysis and Computations, 26.04.2022.
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
Harvard
Fahim, K, Hausenblas, E & Kovács, M 2022, 'Some approximation results for mild solutions of stochastic fractional order evolution equations driven by Gaussian noise', Stochastics and Partial Differential Equations: Analysis and Computations. https://doi.org/10.1007/s40072-022-00250-0
APA
Fahim, K., Hausenblas, E., & Kovács, M. (2022). Some approximation results for mild solutions of stochastic fractional order evolution equations driven by Gaussian noise. Stochastics and Partial Differential Equations: Analysis and Computations. https://doi.org/10.1007/s40072-022-00250-0
Vancouver
Fahim K, Hausenblas E, Kovács M. Some approximation results for mild solutions of stochastic fractional order evolution equations driven by Gaussian noise. Stochastics and Partial Differential Equations: Analysis and Computations. 2022 Apr 26. doi: 10.1007/s40072-022-00250-0
Author
Bibtex - Download
@article{7ef8a754e2a84c1fa961ac3aaf2cc82a,
title = "Some approximation results for mild solutions of stochastic fractional order evolution equations driven by Gaussian noise",
author = "K. Fahim and E. Hausenblas and M. Kov{\'a}cs",
year = "2022",
month = apr,
day = "26",
doi = "10.1007/s40072-022-00250-0",
language = "Undefined/Unknown",
}
RIS (suitable for import to EndNote) - Download
TY - JOUR
T1 - Some approximation results for mild solutions of stochastic fractional order evolution equations driven by Gaussian noise
AU - Fahim, K.
AU - Hausenblas, E.
AU - Kovács, M.
PY - 2022/4/26
Y1 - 2022/4/26
UR - https://doi.org/10.1007/s40072-022-00250-0
U2 - 10.1007/s40072-022-00250-0
DO - 10.1007/s40072-022-00250-0
M3 - Article
JO - Stochastics and Partial Differential Equations: Analysis and Computations
JF - Stochastics and Partial Differential Equations: Analysis and Computations
ER -
