Contact
+49 711 685 61717
+49 711 685 52022
Email
Allmandring 5b
70569 Stuttgart
Deutschland
Room: 0.35
Subject
- Multilevel Monte Carlo Methods
- Uncertainty Quantification
- Randomized Partial Differential Equations
- Adaptive algorithms
2024
- C. A. Beschle and A. Barth, “Quasi continuous level Monte Carlo for random elliptic PDEs,” in Hinrichs, A., Kritzer, P., Pillichshammer, F. (eds) Monte Carlo and Quasi-Monte Carlo Methods. MCQMC 2022, vol. 460, in Hinrichs, A., Kritzer, P., Pillichshammer, F. (eds) Monte Carlo and Quasi-Monte Carlo Methods. MCQMC 2022, vol. 460. , Springer Proceedings in Mathematics & Statistics, 2024, pp. 3–31. doi: 10.1007/978-3-031-59762-6_1.
- C. Beschle and A. Barth, “Complexity analysis of quasi continuous level Monte Carlo,” ESAIM: Mathematical Modelling and Numerical Analysis, 2024, doi: 10.1051/m2an/2024039.
2023
- C. A. Beschle and A. Barth, “Quasi continuous level Monte Carlo for random elliptic PDEs,” 2023.
2022
- D. Hägele et al., “Uncertainty visualization : Fundamentals and recent developments,” Information technology, vol. 64, no. 4–5, Art. no. 4–5, 2022, doi: 10.1515/itit-2022-0033.
- L. Mehl, C. Beschle, A. Barth, and A. Bruhn, “Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation,” 2022. doi: 10.18419/darus-2890.
- C. Beschle and A. Barth, “Uncertainty visualization: Fundamentals and recent developments, code to produce data and visuals used in Section 5,” 2022. doi: 10.18419/darus-3154.
- C. A. Beschle and B. Kovács, “Stability and error estimates for non-linear Cahn-Hilliard-type equations on evolving surfaces,” Numerische Mathematik, vol. 151, no. 1, Art. no. 1, 2022, doi: 10.1007/s00211-022-01280-5.
2021
- L. Mehl, C. Beschle, A. Barth, and A. Bruhn, “An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation,” Proceedings of the International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), pp. 140--152, 2021, doi: 10.1007/978-3-030-75549-2_12.
Winter term 2023/2024 |
Teaching Assistant, University of Stuttgart |
|
Summer term 2023 |
Teaching Assistant, University of Stuttgart |
|
Summer term 2022 |
Teaching Assistant, University of Stuttgart |
|
Winter term 2021/2022 |
Teaching Assistant, University of Stuttgart |
|
Summer term 2021 |
Teaching Assistant, University of Stuttgart |
|
Winter term 2020/2021 |
Teaching Assistant, University of Stuttgart |
|
Summer term 2019 |
Undergraduate Assistant, University of Tübingen |
Numerics of Stationary Differential Equations |
Summer term 2018 |
Undergraduate Assistant, University of Tübingen |
Nonlinear Optimization |
Since 2020 |
PhD-Student at the Institute of Applied Analysis and Numerical Simulation, University of Stuttgart Advisor: Prof. Dr. Andrea Barth |
2017 – 2019 |
Master of Science in Mathematics, University of Tübingen, Germany Thesis: “Error estimates for the Cahn – Hilliard equation on evolving surfaces” Supervisor: Prof. Dr. Christian Lubich, Dr. Balázs Kovács |
2019 |
Working student at EY - Financial Services Advisory, Risk Management, Stuttgart Internship at MAHLE Behr GmbH & Co. KG – Method development: 3D simulations, Stuttgart |
2018 |
Internship at EY - Financial Services Advisory, Risk Management, Stuttgart |
2013 – 2018 |
Working student at Automotive Lighting GmbH – Development, Testing, Experiment, Reutlingen |
2017 |
Semester abroad at the University of Rome |
2015 |
Semester abroad at the University of Oslo |
2013 – 2017 |
Bachelor of Science in Mathematics, University of Tübingen, Germany Thesis: “A time efficient numerical method for the Schrödinger equation” Supervisor: Prof. Dr. Christian Lubich |
Since 2020 |
Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)—Project-ID 251654672—TRR 161 |
2018 – 2019 |
Deutschlandstipendium from the University of Tübingen |