Department of Mathematics School of Computation, Information and Technology Technical University of Munich Boltzmannstraße 3 85748 Garching (Munich) Germany
My research deals with phenomena arising in physics and image processing. To solve the questions arising there, I use tools from applied analysis, partial differential equations, probability theory and statistical physics. My goal is to capture the qualitative and quantitative behavior of solutions of nonlinear partial differential equations, which can be perturbed by noise.
Geldhauser, Carina; Romito, Marco: Gaussian fluctuations around limit measures of generalized SQG point vortices. PAMM 23 (1), 2023 more…BibTeX
Full text (
DOI
)
2021
Geldhauser, Carina; Romito, Marco: Limit Theorems and Fluctuations for Point Vortices of Generalized Euler Equations. Journal of Statistical Physics 182 (3), 2021 more…BibTeX
Full text (
DOI
)
2020
Geldhauser, Carina; ; Romito, Marco;: Point vortices for inviscid generalized surface quasi-geostrophic models. Discrete & Continuous Dynamical Systems - B 25 (7), 2020, 2583-2606 more…BibTeX
Full text (
DOI
)
2019
Geldhauser, Carina; ; Romito, Marco;: The point vortex model for the Euler equation. AIMS Mathematics 4 (3), 2019, 534-575 more…BibTeX
Full text (
DOI
)
2018
Geldhauser, Carina; Valdinoci, Enrico: Optimizing the Fractional Power in a Model with Stochastic PDE Constraints. Advanced Nonlinear Studies 18 (4), 2018, 649-669 more…BibTeX
Full text (
DOI
)
2017
Bovier, A.; Geldhauser, C.: The scaling limit of a particle system with long-range interaction. Markov Process. Related Fields 23 (4), 2017, 515--552 more…BibTeX
2013
Bellettini, Giovanni; Geldhauser, Carina; Novaga, Matteo: Convergence of a semidiscrete scheme for a forward-backward parabolic equation. Adv. Differential Equations 18 (5-6), 2013, 495--522 more…BibTeX
2011
Geldhauser, Carina; Novaga, Matteo: A semidiscrete scheme for a one-dimensional Cahn–Hilliard equation. Interfaces and Free Boundaries, 2011, 327-339 more…BibTeX
Full text (
DOI
)
Geldhauser, Carina; Matt, Andreas Daniel; Stussak, Christian: I AM A.I. Gradient Descent – an Open-Source Digital Game for Inquiry-Based CLIL Learning. Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 2022, 12751-12757 more…BibTeX
Full text (
DOI
)