Caroline Geiersbach

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Numerical Solution of an Optimal Control Problem with Probabilistic and Almost Sure State Constraints.
J. Optim. Theory Appl.
Caroline Geiersbach, René Henrion, Pedro Pérez-Aros
2025 J jnl
Optimality Conditions in Control Problems with Random State Constraints in Probabilistic or Almost Sure Form.
Math. Oper. Res.
Caroline Geiersbach, René Henrion
2024 J jnl
Stochastic Augmented Lagrangian Method in Riemannian Shape Manifolds.
J. Optim. Theory Appl.
Caroline Geiersbach, Tim Suchan, Kathrin Welker
2021 J jnl
Optimality Conditions for Convex Stochastic Optimization Problems in Banach Spaces with Almost Sure State Constraints.
SIAM J. Optim.
Caroline Geiersbach, Winnifried Wollner
2021 J jnl
PDE-constrained shape optimization: towards product shape spaces and stochastic models.
CoRR
Caroline Geiersbach, Estefanía Loayza-Romero, Kathrin Welker
2021 J jnl
Stochastic Approximation for Optimization in Shape Spaces.
SIAM J. Optim.
Caroline Geiersbach, Estefanía Loayza-Romero, Kathrin Welker
2021 J jnl
Stochastic proximal gradient methods for nonconvex problems in Hilbert spaces.
Comput. Optim. Appl.
Caroline Geiersbach, Teresa Scarinci
2020 J jnl
A Stochastic Gradient Method With Mesh Refinement for PDE-Constrained Optimization Under Uncertainty.
SIAM J. Sci. Comput.
Caroline Geiersbach, Winnifried Wollner
2020 J jnl
Stochastic approximation for optimization in shape spaces.
CoRR
Caroline Geiersbach, Estefanía Loayza-Romero, Kathrin Welker
2019 J jnl
Projected Stochastic Gradients for Convex Constrained Problems in Hilbert Spaces.
SIAM J. Optim.
Caroline Geiersbach, Georg Ch. Pflug
2016 J jnl
Optimal Approximation of the First-Order Corrector in Multiscale Stochastic Elliptic PDE.
SIAM/ASA J. Uncertain. Quantification
Caroline Geiersbach, Clemens Heitzinger, Gerhard Tulzer