Monika Eisenmann

12 papers Journal 12
YearRankTypeTitle / Venue / Authors
2024 J jnl
A Domain Decomposition Method for Stochastic Evolution Equations.
SIAM J. Numer. Anal.
Evelyn Buckwar, Ana Djurdjevac, Monika Eisenmann
2024 J jnl
A domain decomposition method for stochastic evolution equations.
CoRR
Evelyn Buckwar, Ana Djurdjevac, Monika Eisenmann
2024 J jnl
A randomized operator splitting scheme inspired by stochastic optimization methods.
Numerische Mathematik
Monika Eisenmann, Tony Stillfjord
2024 J jnl
Error bounds for full space-time splitting discretizations of semi-linear SPDEs - with a focus on dG domain decompositions.
CoRR
Monika Eisenmann, Eskil Hansen, Marvin Jans
2022 J jnl
A randomized operator splitting scheme inspired by stochastic optimization methods.
CoRR
Monika Eisenmann, Tony Stillfjord
2022 J jnl
Sub-linear convergence of a stochastic proximal iteration method in Hilbert space.
Comput. Optim. Appl.
Monika Eisenmann, Tony Stillfjord, Måns Williamson
2022 J jnl
Sublinear Convergence of a Tamed Stochastic Gradient Descent Method in Hilbert Space.
SIAM J. Optim.
Monika Eisenmann, Tony Stillfjord
2021 J jnl
Sub-linear convergence of a tamed stochastic gradient descent method in Hilbert space.
CoRR
Monika Eisenmann, Tony Stillfjord
2020 J jnl
Sub-linear convergence of a stochastic proximal iteration method in Hilbert space.
CoRR
Måns Williamson, Monika Eisenmann, Tony Stillfjord
2019 J jnl
Error estimates of the backward Euler-Maruyama method for multi-valued stochastic differential equations.
CoRR
Monika Eisenmann, Mihály Kovács, Raphael Kruse, Stig Larsson
2019 J jnl
On a Randomized Backward Euler Method for Nonlinear Evolution Equations with Time-Irregular Coefficients.
Found. Comput. Math.
Monika Eisenmann, Mihály Kovács, Raphael Kruse, Stig Larsson
2018 J jnl
Convergence analysis of domain decomposition based time integrators for degenerate parabolic equations.
Numerische Mathematik
Monika Eisenmann, Eskil Hansen