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ORCIDCaroline Geiersbach
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- affiliation: Weierstraß-Institut, Berlin, Germany
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2020 – today
- 2025
[j8]Caroline Geiersbach, René Henrion, Pedro Pérez-Aros:
Numerical Solution of an Optimal Control Problem with Probabilistic and Almost Sure State Constraints. J. Optim. Theory Appl. 204(1): 7 (2025)- 2024
- [j7]Caroline Geiersbach
, Tim Suchan, Kathrin Welker:
Stochastic Augmented Lagrangian Method in Riemannian Shape Manifolds. J. Optim. Theory Appl. 203(1): 165-195 (2024) - 2021
- [j6]Caroline Geiersbach, Teresa Scarinci:
Stochastic proximal gradient methods for nonconvex problems in Hilbert spaces. Comput. Optim. Appl. 78(3): 705-740 (2021) - [j5]Caroline Geiersbach, Estefanía Loayza-Romero, Kathrin Welker:
Stochastic Approximation for Optimization in Shape Spaces. SIAM J. Optim. 31(1): 348-376 (2021) - [j4]Caroline Geiersbach, Winnifried Wollner:
Optimality Conditions for Convex Stochastic Optimization Problems in Banach Spaces with Almost Sure State Constraints. SIAM J. Optim. 31(4): 2455-2480 (2021) - [i2]Caroline Geiersbach, Estefanía Loayza-Romero, Kathrin Welker:
PDE-constrained shape optimization: towards product shape spaces and stochastic models. CoRR abs/2107.07744 (2021) - 2020
- [j3]Caroline Geiersbach, Winnifried Wollner:
A Stochastic Gradient Method With Mesh Refinement for PDE-Constrained Optimization Under Uncertainty. SIAM J. Sci. Comput. 42(5): A2750-A2772 (2020) - [i1]Caroline Geiersbach, Estefanía Loayza-Romero, Kathrin Welker:
Stochastic approximation for optimization in shape spaces. CoRR abs/2001.10786 (2020)
2010 – 2019
- 2019
- [j2]Caroline Geiersbach, Georg Ch. Pflug:
Projected Stochastic Gradients for Convex Constrained Problems in Hilbert Spaces. SIAM J. Optim. 29(3): 2079-2099 (2019) - 2016
- [j1]Caroline Geiersbach, Clemens Heitzinger, Gerhard Tulzer:
Optimal Approximation of the First-Order Corrector in Multiscale Stochastic Elliptic PDE. SIAM/ASA J. Uncertain. Quantification 4(1): 1246-1262 (2016)
Coauthor Index
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