Diyora Salimova

Statistics

Publications

Citations

126

H-Index

Active since

2017

Affiliations

ETH Zurich(Current)

University of Vienna

University of Duisburg-Essen

Diyora Salimova is an author at ETH Zurich specializing in stochastic differential equations, numerical methods for stochastic differential equations, and mathematics.

ORCID

Publications per year

2017–2022

Publications

Strong convergence of full-discrete nonlinearity-truncated accelerated exponential euler-type approximations for stochastic Kuramoto–Sivashinsky equations

Martin Hutzenthaler, Arnulf Jentzen, Diyora Salimova · Communications in Mathematical Sciences · 2018 · 31 citations · Full text

Natural Sciences, Computational Engineering, Mathematics +16

Deep neural network approximations for Monte Carlo algorithms

Philipp Grohs, Arnulf Jentzen, Diyora Salimova · arXiv (Cornell University) · 2019 · 27 citations · Full text

Computing, Computer Science, Computational Physics +12

Strong convergence for explicit space–time discrete numerical approximation methods for stochastic Burgers equations

Arnulf Jentzen, Diyora Salimova, Timo Welti · Journal of Mathematical Analysis and Applications · 2018 · 24 citations · Full text

Engineering, Computational Engineering, Computational Fluid Dynamics +13

Deep neural network approximations for solutions of PDEs based on Monte Carlo algorithms

Philipp Grohs, Arnulf Jentzen, Diyora Salimova · Partial Differential Equations and Applications · 2022 · 16 citations · Full text

Computing, Computer Science, Mathematics +15

Strong and weak divergence of exponential and linear-implicit Euler approximations for stochastic partial differential equations with superlinearly growing nonlinearities

Matteo Beccari, Martin Hutzenthaler, Arnulf Jentzen et al. · ArXiv.org · 2019 · 15 citations · Full text

Natural Sciences, Mathematics, Differential Equations +13

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