Events

Oberseminar Wissenschaftliches Rechnen (Prof. Martin Gugat) (Kopie 1)

L1-control cost and the finite–time turnpike property

CSIP 2023 - Chemnitz Symposium on Inverse Problems | 8.-10.11.2023 | Würzburg

Seminar Scientific Computing (Prof. Hao Chen)

Differential Riccati equations play a crucial role in optimal control and estimation theory

Seminar Scientific Computing (Prof. Vittorio Colao)

On some iterative algorithms arising in metric fixed point Theory

Seminar Scientific Computing (Prof. Vittorio Colao)

On some iterative algorithms arising in metric fixed point Theory

Seminar Scientific Computing (Dr. Housen Li)

Adaptive minimax optimality in statistical inverse problems

Seminar Scientific Computing (Dr. Tim Breitenbach)

Optimization and Machine learning in action for data center automation, single cell analysis and glioblastoma research

Seminar Scientific Computing (Dr. Remo Kretschmann)

Optimization Optimal and Machine learning Bayesian regularized hypothesis testing in action for data center automation, single cell analysis and glioblastoma researchstatistical inverse problems

Oberseminar Wissenschaftliches Rechnen (Dr. Stefana Anita) (Kopie 1)

Nonlocal Optimal Control for a Nonlinear Fokker-Planck Equation

Oberseminar Wissenschaftliches Rechnen (Dr. Vesa Kaarnioja)

Modeling domain uncertainty using periodic random variables with application to elliptic PDEs

Seminar Scientific Computing (Dr. Florian Wechsung, Courant Institute of Mathematical Sciences New York University)

Direct Stellarator coil optimisation under uncertainty

Seminar Scientific Computing (Prof. Georg Stadler, Courant Institute of Mathematical Sciences New York University)

Optimal control of PDEs under uncertainty with joint chance state constraints

Seminar Scientific Computing (Jun.-Prof. Anne Wald, Georg-August-Universität Göttingen)(Kopie 1)

Time-dependence as modelling inexactness in inverse problems: regularization and application in dynamic imaging

Seminar Scientific Computing (Prof. Dr. Bruno Buonomo, University of Naples Federico II)

Modeling vaccine hesitancy using a behavioral epidemiology approach

Seminar Scientific Computing (Markus Pohlmann, Georg-August-Universität Göttingen)

Minimax detection of frame-based signals in statistical inverse problems