Caroline Geiersbach

According to our database, Caroline Geiersbach authored at least 8 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Stochastic Augmented Lagrangian Method in Riemannian Shape Manifolds.

Caroline Geiersbach, Tim Suchan, Kathrin Welker

J. Optim. Theory Appl., October, 2024

2021

Optimality Conditions for Convex Stochastic Optimization Problems in Banach Spaces with Almost Sure State Constraints.

Caroline Geiersbach, Winnifried Wollner

SIAM J. Optim., 2021

Stochastic Approximation for Optimization in Shape Spaces.

Caroline Geiersbach, Estefanía Loayza-Romero, Kathrin Welker

SIAM J. Optim., 2021

PDE-constrained shape optimization: towards product shape spaces and stochastic models.

Caroline Geiersbach, Estefanía Loayza-Romero, Kathrin Welker

CoRR, 2021

Stochastic proximal gradient methods for nonconvex problems in Hilbert spaces.

Caroline Geiersbach, Teresa Scarinci

Comput. Optim. Appl., 2021

2020

A Stochastic Gradient Method With Mesh Refinement for PDE-Constrained Optimization Under Uncertainty.

Caroline Geiersbach, Winnifried Wollner

SIAM J. Sci. Comput., 2020

2019

Projected Stochastic Gradients for Convex Constrained Problems in Hilbert Spaces.

Caroline Geiersbach, Georg Ch. Pflug

SIAM J. Optim., 2019

2016

Optimal Approximation of the First-Order Corrector in Multiscale Stochastic Elliptic PDE.

Caroline Geiersbach, Clemens Heitzinger, Gerhard Tulzer

SIAM/ASA J. Uncertain. Quantification, 2016